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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. 868
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    numbers related to statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    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
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    No Comments

    Negative Logits
    akening
    -0.88
    rolet
    -0.82
    ItemTracker
    -0.82
    ĵĺ
    -0.80
    ĸļ
    -0.79
    ategory
    -0.78
    oulos
    -0.77
    raints
    -0.76
     Seym
    -0.75
    »Ĵ
    -0.75
    POSITIVE LOGITS
    rd
    0.95
    00
    0.90
    LECT
    0.83
    aan
    0.77
    ¯¯¯¯
    0.74
     Ago
    0.70
    333
    0.69
    mm
    0.69
     ejac
    0.67
    inately
    0.66
    Activations Density 0.021%

    No Known Activations