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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. 22008
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    Explanations

    references to senses of smell and taste

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wa" and related words indicating a state or condition

    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
     Annotations
    -0.77
     Nurs
    -0.73
     Dodd
    -0.72
     Wales
    -0.71
    hester
    -0.70
    ECH
    -0.69
     Cosponsors
    -0.68
    FX
    -0.66
     Token
    -0.66
    HOME
    -0.65
    POSITIVE LOGITS
    iances
    0.91
    atable
    0.86
    iencies
    0.86
    vre
    0.86
     wa
    0.79
    iving
    0.78
    vered
    0.76
    seless
    0.74
    thur
    0.73
    ively
    0.72
    Activations Density 0.050%

    No Known Activations