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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. 10-RES-JB
    11. 5686
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    Explanations

    the word "lay" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    the word "lay" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ively
    -0.76
     Nero
    -0.67
    ãĥ¯
    -0.66
    iling
    -0.65
     Polo
    -0.65
    iley
    -0.64
    isks
    -0.64
     Pry
    -0.62
     STAR
    -0.62
    ICES
    -0.61
    POSITIVE LOGITS
    ering
    1.10
    ered
    1.03
    outs
    1.02
    people
    0.96
    person
    0.95
    men
    0.91
    lah
    0.90
    utenant
    0.89
    over
    0.86
    off
    0.86
    Activations Density 0.021%

    No Known Activations