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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. 6155
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    Explanations

    sentences containing specific words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing or repeated actions and decisions

    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
    apo
    -0.74
    ROR
    -0.72
    advertisement
    -0.69
    ammy
    -0.65
    oir
    -0.65
    akin
    -0.65
     fixme
    -0.64
    erala
    -0.62
    taboola
    -0.60
    itia
    -0.60
    POSITIVE LOGITS
     finally
    1.37
     decided
    1.09
     settled
    1.09
     ultimately
    1.01
     concluded
    0.95
     finalized
    0.94
     eventually
    0.94
     culminating
    0.93
     unanimously
    0.90
     culminated
    0.89
    Activations Density 0.351%

    No Known Activations