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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. 816
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    percentage values in the text

    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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    No Comments

    Negative Logits
     sick
    -0.70
     coun
    -0.64
     pals
    -0.63
     skelet
    -0.63
     Kai
    -0.62
     punitive
    -0.62
     neighbors
    -0.62
     gossip
    -0.61
     lun
    -0.61
    ©¶æ
    -0.61
    POSITIVE LOGITS
    olson
    0.87
    ablishment
    0.82
    ooters
    0.82
    iewicz
    0.78
     ABV
    0.77
    elsius
    0.76
    cliffe
    0.76
    ulty
    0.76
    akespeare
    0.76
    clair
    0.75
    Activations Density 0.014%

    No Known Activations