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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. 6262
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    INDEX
    Explanations

    proper names or mentions of specific locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people or entities

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Connie
    -0.96
     Greenwood
    -0.96
    154
    -0.82
     154
    -0.80
     Edmund
    -0.79
    354
    -0.77
     CON
    -0.76
     Merrill
    -0.76
     FORM
    -0.76
     Independence
    -0.75
    POSITIVE LOGITS
    z
    1.84
    Z
    1.62
    zos
    1.51
    zes
    1.46
    zu
    1.42
    zeb
    1.40
    zon
    1.40
    zl
    1.39
    za
    1.37
    tz
    1.37
    Activations Density 0.287%

    No Known Activations