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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. 1618
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    Explanations

    instances where other items or entities are mentioned in conjunction with the main topic

    oai_token-act-pair · gpt-3.5-turbo

    references to additional entities or individuals in a context

    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
    ctor
    -0.77
    ffee
    -0.75
    ensibly
    -0.73
    ister
    -0.71
     1962
    -0.64
     1915
    -0.63
     Krishna
    -0.63
     1924
    -0.62
     Kubrick
    -0.62
    1964
    -0.62
    POSITIVE LOGITS
    worldly
    1.63
     avenues
    0.94
     aspects
    0.85
     factors
    0.85
     notable
    0.84
     types
    0.82
     ways
    0.81
     prominent
    0.81
     wom
    0.81
     major
    0.80
    Activations Density 0.068%

    No Known Activations