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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. 12-RES-JB
    11. 3750
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    Explanations

    legal or news-related terms and names

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    punctuation marks, particularly parentheses and periods, that indicate sentence structure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -0.72
     assum
    -0.72
     challeng
    -0.71
     streng
    -0.71
     satell
    -0.69
     synerg
    -0.69
     immersion
    -0.69
     obser
    -0.69
    oba
    -0.67
     perpend
    -0.67
    POSITIVE LOGITS
     —
    1.20
     --
    1.07
     âĢķ
    1.00
     –
    0.94
     ---
    0.92
     -
    0.89
     Authorities
    0.86
     Prosecutors
    0.79
     Investigators
    0.78
     Newly
    0.78
    Activations Density 0.047%

    No Known Activations