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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 3071
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    Explanations

    technical information related to potential hazards, particularly around structures like dams or asteroids, and also legal or law enforcement situations

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    conditional and hypothetical statements related to risk and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    states
    -0.92
    Reviewer
    -0.89
    soType
    -0.88
    ãĤ¦ãĤ¹
    -0.87
    aeda
    -0.86
     practition
    -0.80
    EStream
    -0.79
    soDeliveryDate
    -0.77
    PDATE
    -0.77
     Reloaded
    -0.76
    POSITIVE LOGITS
     trespass
    1.33
     disturb
    1.29
     penetrate
    1.24
     infiltrate
    1.22
     impede
    1.21
     traverse
    1.20
     collide
    1.19
     interfere
    1.19
     wander
    1.19
     enter
    1.18
    Activations Density 0.261%

    No Known Activations