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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23239
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    INDEX
    Explanations

    words related to physical actions and locations

    oai_token-act-pair · gpt-3.5-turbo

    reference to animals and their care or interactions

    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
    kered
    -0.55
    aned
    -0.53
    cipled
    -0.49
    ãĥ£
    -0.48
    phas
    -0.47
     hindsight
    -0.47
    ãĤ¨ãĥ«
    -0.47
    cro
    -0.47
    BuyableInstoreAndOnline
    -0.46
    -+-+-+-+
    -0.45
    POSITIVE LOGITS
    .
    0.82
     respectively
    0.82
    ãĢĤ
    0.80
    .#
    0.79
    .'
    0.77
    *.
    0.77
    !.
    0.74
    .[
    0.74
    ."
    0.74
     accordingly
    0.72
    Activations Density 1.069%

    No Known Activations