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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. 4-RES-JB
    11. 12250
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kot" or related terms in various contexts

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

    No Comments

    Negative Logits
    xual
    -0.99
    mble
    -0.78
    utherford
    -0.76
    terday
    -0.73
     tremend
    -0.69
    IBLE
    -0.68
    omething
    -0.66
     confir
    -0.66
    elaide
    -0.65
    ioxide
    -0.65
    POSITIVE LOGITS
    zeb
    1.22
     Kot
    1.04
    aku
    0.90
    lin
    0.88
    zon
    0.86
    zn
    0.84
    estone
    0.82
    arel
    0.82
    ota
    0.81
    aji
    0.81
    Activations Density 0.007%

    No Known Activations