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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. 20826
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    Explanations

    mentions of specific names or terms related to automobiles and chemicals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people or entities, particularly those associated with politics or cultural issues

    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
    edin
    -0.96
    ablishment
    -0.89
    anamo
    -0.87
    rat
    -0.86
    untu
    -0.86
    yo
    -0.82
    raved
    -0.81
    alg
    -0.80
    ilon
    -0.79
    amen
    -0.79
    POSITIVE LOGITS
    flame
    0.76
    ::::::::
    0.75
     flare
    0.75
    âķIJâķIJ
    0.73
     Pryor
    0.73
    Lens
    0.71
     Ago
    0.69
     [|
    0.68
    âĸ¬
    0.68
    >>>>>>>>
    0.66
    Activations Density 0.046%

    No Known Activations