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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21052
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    keywords related to crime, health, and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Vox
    -0.68
     Galactic
    -0.64
     Coin
    -0.60
     Planetary
    -0.59
     RAND
    -0.58
     Slate
    -0.58
     Rosenstein
    -0.57
     Gon
    -0.56
     [/
    -0.56
     DSM
    -0.56
    POSITIVE LOGITS
     mosqu
    0.74
    alysed
    0.73
    istries
    0.71
    fully
    0.70
     guiActiveUn
    0.67
    idently
    0.66
    aroo
    0.66
    ullivan
    0.66
    TPS
    0.65
    é¾įå¥ij士
    0.64
    Activations Density 1.240%

    No Known Activations