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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. 18640
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Not in Any Lists

    No Comments

    Negative Logits
    ?),
    -0.58
    inas
    -0.55
    mone
    -0.54
     frontman
    -0.53
    toggle
    -0.53
    çīĪ
    -0.52
     hairc
    -0.50
    yt
    -0.50
    ãĤ«
    -0.49
     Carney
    -0.49
    POSITIVE LOGITS
     withd
    0.81
     unres
    0.72
     awa
    0.72
     conclud
    0.71
     toget
    0.69
     tyr
    0.67
    theless
    0.65
     unnecess
    0.65
     uniqueness
    0.63
    .","
    0.63
    Activations Density 1.660%

    No Known Activations