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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. 6-RES-JB
    11. 2624
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    Explanations

    references to specific entities or characters, particularly those associated with sports teams or political figures

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific bear-related entity or theme

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orious
    -0.71
    ooks
    -0.70
    ortion
    -0.70
    ulton
    -0.69
    icular
    -0.69
    icer
    -0.68
    soc
    -0.67
    icles
    -0.67
    resent
    -0.65
    arma
    -0.65
    POSITIVE LOGITS
     Gry
    0.85
    opsis
    0.83
     Halls
    0.80
     Bear
    0.74
    Bear
    0.72
    brates
    0.71
    brate
    0.71
    vier
    0.70
    pta
    0.69
    plates
    0.69
    Activations Density 0.062%

    No Known Activations