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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. 7-RES-JB
    11. 13983
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    Explanations

    phrases indicating a point of interest or intrigue

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "interestingly" or "curiously," indicating a focus on surprising or noteworthy information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aily
    -0.77
    aden
    -0.68
     throats
    -0.67
    esc
    -0.65
    adr
    -0.65
    ocene
    -0.65
    aim
    -0.63
    addons
    -0.62
    ext
    -0.62
    cair
    -0.62
    POSITIVE LOGITS
     absent
    0.75
     titled
    0.73
     though
    0.72
     coinc
    0.71
    nown
    0.70
    TPP
    0.69
     importantly
    0.68
     interestingly
    0.67
     ironic
    0.66
     Pengu
    0.65
    Activations Density 0.053%

    No Known Activations