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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. 1-RES-JB
    11. 710
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    Explanations

    numerical sequences similar to alphanumeric patterns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of film terminology and abbreviations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lith
    -0.74
     Loll
    -0.63
     Den
    -0.59
     Reson
    -0.59
     Wiley
    -0.58
     Atl
    -0.58
     Benz
    -0.58
     vein
    -0.58
    lyn
    -0.58
     guard
    -0.58
    POSITIVE LOGITS
    TF
    1.38
    inguished
    0.92
    oward
    0.91
    ILE
    0.87
    TY
    0.85
    CCC
    0.84
    amous
    0.81
    raid
    0.77
    RA
    0.77
    UF
    0.77
    Activations Density 0.004%

    No Known Activations