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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. 9-RES-JB
    11. 8745
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    Explanations

    phrases related to things hidden or happening in the background

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating physical locations or positions relative to something else

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    amen
    -0.69
    rouse
    -0.68
     associated
    -0.63
    won
    -0.61
     vulner
    -0.60
     frequ
    -0.58
    onite
    -0.58
     Turing
    -0.57
    ammed
    -0.56
    enson
    -0.55
    POSITIVE LOGITS
    neath
    1.13
     Scenes
    0.73
     Thoughts
    0.71
    draw
    0.69
    math
    0.67
     Stories
    0.67
     Thumbnails
    0.66
    olate
    0.65
    VPN
    0.63
    stand
    0.63
    Activations Density 0.170%

    No Known Activations