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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. 6-RES-JB
    11. 20701
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    Explanations

    words related to clothing and dressing up

    oai_token-act-pair · gpt-3.5-turbo

    words related to fabric and textiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Skydragon
    -0.88
    \/\/
    -0.86
     Sabha
    -0.84
    Ranked
    -0.73
    soDeliveryDate
    -0.71
    catentry
    -0.68
    Profile
    -0.67
    TAG
    -0.66
    ãĥ³ãĤ¸
    -0.66
    argon
    -0.65
    POSITIVE LOGITS
    ruary
    0.90
    ancial
    0.80
    uld
    0.72
    ulent
    0.72
    heit
    0.68
    kes
    0.67
    idered
    0.66
    iceps
    0.64
    kens
    0.64
    abwe
    0.64
    Activations Density 0.079%

    No Known Activations