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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. 20305
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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 @ 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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    No Comments

    Negative Logits
    tub
    -0.92
    urat
    -0.75
    tone
    -0.75
    iful
    -0.73
    rament
    -0.73
    milo
    -0.71
    iris
    -0.71
    bred
    -0.71
    llular
    -0.70
     Oro
    -0.68
    POSITIVE LOGITS
    igans
    0.89
    ihilation
    0.86
    acle
    0.81
     Launcher
    0.76
    ufact
    0.75
     Builder
    0.73
    auts
    0.72
    acles
    0.70
    iece
    0.70
    nel
    0.69
    Activations Density 0.018%

    No Known Activations