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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. 7-RES-JB
    11. 3558
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    Explanations

    phrases related to various projects and initiatives

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    combe
    -0.76
    aws
    -0.73
    taboola
    -0.71
    ãģĦ
    -0.71
    gger
    -0.69
    ^^^^
    -0.69
    bane
    -0.68
    ously
    -0.67
    acies
    -0.67
     nerv
    -0.64
    POSITIVE LOGITS
     Gutenberg
    1.52
    ions
    1.12
    ion
    1.10
    ioned
    0.97
    ors
    0.91
    ually
    0.86
    eur
    0.83
    ional
    0.82
     Ara
    0.79
    iverse
    0.77
    Activations Density 0.020%

    No Known Activations