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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. 8-RES-JB
    11. 24173
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    Explanations

    verbs related to specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    specific single-letter words or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vul
    -0.68
     maker
    -0.66
     sacrament
    -0.65
     identification
    -0.64
     transitions
    -0.64
     contacts
    -0.64
    bucks
    -0.63
     nudity
    -0.62
     executions
    -0.61
     medium
    -0.60
    POSITIVE LOGITS
    inged
    1.08
    agged
    1.00
    umbled
    0.97
    oused
    0.92
    owed
    0.91
    ashed
    0.91
    udging
    0.89
    aff
    0.88
    usted
    0.87
    uddled
    0.87
    Activations Density 0.178%

    No Known Activations