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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. 4-RES-JB
    11. 20545
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to participants in legal or formal actions

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

    No Comments

    Negative Logits
    acus
    -0.74
    itars
    -0.71
    ilion
    -0.70
    pan
    -0.67
    enberg
    -0.67
    omatic
    -0.66
    armed
    -0.64
    andel
    -0.64
     Swing
    -0.63
     Revival
    -0.61
    POSITIVE LOGITS
     confidentiality
    0.87
     beware
    0.85
    ients
    0.84
    ele
    0.83
    hood
    0.73
     who
    0.71
    esses
    0.70
     privacy
    0.67
    Redditor
    0.66
     Beware
    0.66
    Activations Density 0.096%

    No Known Activations