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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. 10-RES-JB
    11. 18916
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    Explanations

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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĨĴ
    -0.74
     Carbuncle
    -0.72
    @#&
    -0.68
    Jr
    -0.67
    20439
    -0.67
     disciplinary
    -0.66
    bred
    -0.66
     contingency
    -0.66
    displayText
    -0.65
    uador
    -0.64
    POSITIVE LOGITS
    vertising
    1.15
    verts
    1.12
    orial
    1.03
    vertisement
    1.00
     aired
    0.99
    ieu
    0.95
    idas
    0.95
    strip
    0.93
     ads
    0.92
     airing
    0.89
    Activations Density 0.044%

    No Known Activations