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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. 3-RES-JB
    11. 23470
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    oai_token-act-pair · gpt-3.5-turbo

    closing punctuation marks in the document, particularly parentheses and brackets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rall
    -0.71
     neighb
    -0.70
    ikuman
    -0.70
     purse
    -0.69
     board
    -0.68
     suspic
    -0.67
     feared
    -0.66
     bully
    -0.66
     hust
    -0.65
     grip
    -0.65
    POSITIVE LOGITS
     Similarly
    0.95
     Additionally
    0.93
     Alternatively
    0.92
    aspx
    0.90
     Likewise
    0.87
     Needless
    0.86
     Therefore
    0.86
     Furthermore
    0.85
     Whilst
    0.85
     Interestingly
    0.84
    Activations Density 0.080%

    No Known Activations