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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    the word "lead."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lead" in various contexts

    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
    ramid
    -0.70
    Sov
    -0.69
    ALLY
    -0.68
     mercy
    -0.67
    aves
    -0.67
    afort
    -0.65
    pload
    -0.64
    eatures
    -0.63
     Remem
    -0.63
    BLIC
    -0.63
    POSITIVE LOGITS
    ership
    1.09
    better
    1.01
    gers
    0.83
    wig
    0.82
    hole
    0.80
    boards
    0.80
     negotiator
    0.72
     bearer
    0.71
    erer
    0.69
     nurturing
    0.68
    Activations Density 0.038%

    No Known Activations