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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. 2-RES-JB
    11. 7218
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    Explanations

    adjectives

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "being alive" or "live" actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    acea
    -0.90
    é¾įå
    -0.82
    obyl
    -0.78
    erva
    -0.76
    ournal
    -0.74
    swick
    -0.72
    adra
    -0.68
    oths
    -0.68
    Downloadha
    -0.66
     Whale
    -0.66
    POSITIVE LOGITS
    ive
    0.94
    rics
    0.79
    reth
    0.76
    cery
    0.73
    mble
    0.73
    ãĥ£
    0.69
    lled
    0.68
    ptic
    0.68
    ives
    0.67
    lly
    0.67
    Activations Density 0.014%

    No Known Activations