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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. 4-RES-JB
    11. 12303
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    Explanations

    phrases or terms indicating a trend or sequence of events that continue without interruption

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating consecutive achievements or repetitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Dmit
    -0.74
     Lauder
    -0.72
    ku
    -0.72
    ISTER
    -0.70
    IUM
    -0.70
    fy
    -0.65
    cest
    -0.64
    adle
    -0.64
    Rus
    -0.63
    obar
    -0.63
    POSITIVE LOGITS
    ĻĤ
    0.85
    away
    0.84
    aways
    0.82
    ©¶æ¥µ
    0.76
     consecutive
    0.76
    undo
    0.76
    liner
    0.71
    graded
    0.70
    Ĥª
    0.69
    dayName
    0.69
    Activations Density 0.008%

    No Known Activations