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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. 8-RES-JB
    11. 17038
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    Explanations

    periods

    oai_token-act-pair · gpt-3.5-turbo

    sentences that emphasize various aspects of discussion or information sharing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reversible
    -0.92
     volcano
    -0.89
     landfall
    -0.82
     emission
    -0.80
     sunset
    -0.79
     juice
    -0.76
     deton
    -0.76
     hoped
    -0.75
     shel
    -0.74
     emissions
    -0.73
    POSITIVE LOGITS
     Their
    1.38
     They
    1.24
     Together
    1.10
    who
    1.09
    Their
    1.09
     Particularly
    1.06
     Each
    1.05
     Especially
    1.03
     Those
    1.02
     These
    1.01
    Activations Density 0.579%

    No Known Activations