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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. 13700
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    INDEX
    Explanations

    phrases indicating a high frequency or generalization

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating inclusivity or universality

    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
    ubi
    -0.66
     Dull
    -0.64
    uel
    -0.63
    waters
    -0.62
    most
    -0.62
    uers
    -0.62
    laden
    -0.61
    kind
    -0.61
    only
    -0.60
     Maze
    -0.59
    POSITIVE LOGITS
    hyde
    0.84
    WHERE
    0.81
     imaginable
    0.75
     ILCS
    0.69
    代
    0.66
    VICE
    0.65
     conceivable
    0.64
    THING
    0.64
     kcal
    0.64
    xual
    0.63
    Activations Density 0.092%

    No Known Activations