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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. 13865
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    Explanations

    proper nouns related to individuals or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or entities, particularly those starting with "Wh" or related concepts

    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
    ĸļ
    -0.85
    ãĥł
    -0.81
     unfocusedRange
    -0.71
    ãĥ´ãĤ¡
    -0.70
     respons
    -0.66
     Zur
    -0.66
     Expend
    -0.64
     manif
    -0.64
     pse
    -0.63
    igm
    -0.63
    POSITIVE LOGITS
    igans
    0.96
    hunt
    0.83
    bang
    0.82
    amac
    0.81
    igan
    0.81
    bey
    0.80
    iland
    0.77
    pool
    0.77
    azi
    0.76
    ewater
    0.76
    Activations Density 0.050%

    No Known Activations