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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. 3-RES-JB
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    Explanations

    names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "ame" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    keyes
    -0.78
    iversal
    -0.75
    dimension
    -0.68
    ilight
    -0.67
    İĭ
    -0.66
    shr
    -0.64
    hips
    -0.63
    weeney
    -0.63
    keye
    -0.63
     stabilized
    -0.62
    POSITIVE LOGITS
    ame
    0.95
    leon
    0.95
    ously
    0.79
    ilial
    0.78
    ña
    0.77
     Shame
    0.77
    ames
    0.75
    eus
    0.74
    arters
    0.71
    anwhile
    0.70
    Activations Density 0.006%

    No Known Activations