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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. 10-RES-JB
    11. 21472
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    Explanations

    phrases thanking and inviting viewers to visit a website

    oai_token-act-pair · gpt-3.5-turbo

    expressions of appreciation or invitations for engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onde
    -0.70
    esome
    -0.63
    enf
    -0.62
     praises
    -0.61
    zik
    -0.60
    oult
    -0.60
     inclusive
    -0.56
    lar
    -0.54
     nuts
    -0.53
    mun
    -0.53
    POSITIVE LOGITS
    PsyNetMessage
    0.63
    eatures
    0.60
    OSE
    0.59
    currency
    0.59
     Catch
    0.59
    ãĥ¤
    0.58
    unctions
    0.57
     Become
    0.57
    rodu
    0.57
     Races
    0.57
    Activations Density 0.017%

    No Known Activations