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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. 11-RES-JB
    11. 12511
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -0.80
    ĨĴ
    -0.73
     Carbuncle
    -0.68
    atican
    -0.67
     Martial
    -0.66
     COUR
    -0.66
    bred
    -0.65
    displayText
    -0.65
    ignt
    -0.64
    othal
    -0.63
    POSITIVE LOGITS
    vertising
    1.15
    verts
    1.11
    idas
    1.06
    vertis
    1.04
    elaide
    0.99
    orial
    0.99
     hoard
    0.93
     hoc
    0.91
     campaigns
    0.89
    vertisement
    0.89
    Activations Density 0.044%

    No Known Activations