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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. 12038
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    Explanations

    proper nouns, particularly names of people and locations

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns, particularly related to people and organizations

    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
    ailability
    -0.86
     citiz
    -0.78
     horizon
    -0.76
    aditional
    -0.73
    ailable
    -0.71
    actionDate
    -0.71
    dfx
    -0.70
     newsp
    -0.69
    ĪĴ
    -0.68
    iframe
    -0.65
    POSITIVE LOGITS
     Sisters
    0.82
    heit
    0.79
    gio
    0.77
    agall
    0.75
    ieri
    0.72
    iani
    0.71
    espie
    0.71
    reau
    0.71
     Ton
    0.70
     Sheen
    0.69
    Activations Density 0.372%

    No Known Activations