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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. 6-RES-JB
    11. 7063
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.82
    olean
    -0.76
    yss
    -0.74
    inite
    -0.68
    prime
    -0.68
    reditary
    -0.68
    voy
    -0.67
    ritical
    -0.67
    entric
    -0.66
    emic
    -0.66
    POSITIVE LOGITS
    riage
    0.83
     Gorsuch
    0.73
    channelAvailability
    0.70
    VICE
    0.70
    apple
    0.66
    UID
    0.66
     Lynch
    0.65
     Against
    0.65
     Argentina
    0.63
     Robotics
    0.63
    Activations Density 0.125%

    No Known Activations