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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. 21761
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    Explanations

    numbers or years

    oai_token-act-pair · gpt-3.5-turbo

    numerical references or identifiers associated with various subjects

    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
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    No Comments

    Negative Logits
    achus
    -0.90
     tradem
    -0.80
    holders
    -0.78
    ktop
    -0.75
     millenn
    -0.75
    car
    -0.72
    NetMessage
    -0.70
    houses
    -0.68
    cle
    -0.68
    ¥ŀ
    -0.67
    POSITIVE LOGITS
    naire
    0.89
    atche
    0.83
    rd
    0.82
    491
    0.78
    017
    0.76
    00
    0.75
    ancouver
    0.73
    arians
    0.73
    awks
    0.73
    æĹ
    0.72
    Activations Density 0.056%

    No Known Activations