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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. 7209
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    Explanations

    phrases indicating warning or caution

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hypothetical scenarios or suggestions

    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
     Fortune
    -0.61
    lder
    -0.60
    ciating
    -0.59
    ossus
    -0.59
    onential
    -0.59
    essor
    -0.58
    iop
    -0.57
    afia
    -0.56
     Franch
    -0.56
     sickness
    -0.55
    POSITIVE LOGITS
     able
    0.93
    fall
    0.92
    acons
    0.84
    fitting
    0.84
     considered
    0.82
    heading
    0.82
    fit
    0.78
    fits
    0.77
    hemoth
    0.75
    falls
    0.75
    Activations Density 0.154%

    No Known Activations