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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. 21868
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    Explanations

    instances where someone is personally involved or affected

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences or feelings

    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
     McKin
    -0.74
     Maid
    -0.74
     Grants
    -0.73
     Fuk
    -0.72
     Gates
    -0.71
    iens
    -0.71
     Meadow
    -0.70
     Clover
    -0.70
     Twin
    -0.69
     Stall
    -0.69
    POSITIVE LOGITS
     identifiable
    1.19
     personally
    1.12
     encount
    0.93
    ographically
    0.88
     intervened
    0.87
     accomp
    0.87
     exper
    0.86
     notor
    0.85
     benefited
    0.85
    è£ħ
    0.85
    Activations Density 0.004%

    No Known Activations