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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. 21131
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    =-=-=-=-=-=-=-=-
    -0.80
    witch
    -0.71
    =-=-=-=-
    -0.67
    Lago
    -0.65
    ItemThumbnailImage
    -0.63
    Lens
    -0.63
    ãĥīãĥ©ãĤ´ãĥ³
    -0.63
    mens
    -0.63
    bane
    -0.62
     Schmidt
    -0.62
    POSITIVE LOGITS
    atural
    0.80
    existing
    0.77
    atives
    0.77
    requisites
    0.75
    emption
    0.75
    ptive
    0.74
    aphael
    0.74
    empt
    0.73
    itious
    0.73
    requisite
    0.73
    Activations Density 0.081%

    No Known Activations