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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. 8-RES-JB
    11. 10362
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "ame" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    angers
    -0.77
    aceous
    -0.71
     tremend
    -0.69
    arser
    -0.68
    keye
    -0.67
    keyes
    -0.67
    ummer
    -0.67
    spective
    -0.66
    lando
    -0.65
    agy
    -0.65
    POSITIVE LOGITS
    leon
    1.23
    lled
    0.94
    llan
    0.88
    ez
    0.87
    e
    0.87
    pad
    0.85
    eh
    0.84
    xual
    0.80
    lling
    0.77
    house
    0.76
    Activations Density 0.028%

    No Known Activations