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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. 11793
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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
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    Negative Logits
    Ń·
    -1.04
    İĭ
    -0.88
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    acies
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    ĪĴ
    -0.72
     destro
    -0.71
    ©¶æ¥µ
    -0.70
    onite
    -0.70
    ĻĤ
    -0.69
    POSITIVE LOGITS
    semble
    0.68
    +)
    0.65
    Ball
    0.62
     Wanted
    0.61
    UAL
    0.61
    tracks
    0.59
    >:
    0.59
    TY
    0.59
    ept
    0.58
    aval
    0.58
    Activations Density 0.050%

    No Known Activations