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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. 9-RES-JB
    11. 6077
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    Explanations

    mentions of people performing actions or being involved in incidents

    oai_token-act-pair · gpt-3.5-turbo

    specific individuals, often in roles related to authority or conflict

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.77
    utical
    -0.76
     endorsements
    -0.75
    netflix
    -0.72
     Enhance
    -0.68
    phabet
    -0.68
    unal
    -0.67
     Useful
    -0.66
     Improve
    -0.65
    ajor
    -0.65
    POSITIVE LOGITS
     intervened
    1.33
     suddenly
    1.17
     yelled
    1.17
     grabbed
    1.15
     noticed
    1.12
     panicked
    1.12
     screamed
    1.12
     jumped
    1.07
     swoop
    1.07
     exclaimed
    1.05
    Activations Density 0.439%

    No Known Activations