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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. 12177
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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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    Negative Logits
    wagen
    -0.75
     gad
    -0.69
    omething
    -0.67
    lda
    -0.67
     detached
    -0.67
     dispers
    -0.65
    milo
    -0.64
    nesday
    -0.63
     masse
    -0.63
    schild
    -0.62
    POSITIVE LOGITS
    º
    0.98
    ¹
    0.92
    Ī
    0.85
    ĸļ
    0.85
    ®
    0.84
     âĢº
    0.84
    £
    0.83
    ı
    0.82
    į
    0.81
    Į
    0.81
    Activations Density 0.098%

    No Known Activations