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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. 15244
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    Explanations

    well-wishing expressions or phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express well-wishes or positive sentiments

    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
    olls
    -0.53
    lling
    -0.50
    ku
    -0.49
    rian
    -0.49
    borough
    -0.49
    bent
    -0.46
    drawn
    -0.46
    elta
    -0.45
    asc
    -0.45
    kered
    -0.45
    POSITIVE LOGITS
    .''.
    0.59
    .","
    0.59
    !.
    0.56
    .
    0.55
     Afgh
    0.55
    .]
    0.53
    $.
    0.52
    .:
    0.52
    ,.
    0.52
    .(
    0.50
    Activations Density 1.501%

    No Known Activations