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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. 1-RES-JB
    11. 22459
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    Explanations

    time-related information and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numeric values associated with sports statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lehem
    -0.83
    hement
    -0.79
    女
    -0.79
    wagen
    -0.78
    DragonMagazine
    -0.77
    blance
    -0.76
    arest
    -0.75
    krit
    -0.73
    ãĥ£
    -0.72
    ngth
    -0.71
    POSITIVE LOGITS
     0
    0.96
    xff
    0.79
    644
    0.75
    xb
    0.70
    xd
    0.69
    akedown
    0.69
    xe
    0.68
     TCU
    0.68
    x
    0.67
     Chiefs
    0.66
    Activations Density 0.008%

    No Known Activations