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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
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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 @ 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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    Negative Logits
    rontal
    -0.67
    neutral
    -0.66
    staking
    -0.66
    Ń·
    -0.64
     indefinitely
    -0.62
    alions
    -0.62
    arm
    -0.61
    mens
    -0.60
    mone
    -0.59
    gra
    -0.58
    POSITIVE LOGITS
    ?:
    0.93
    ?",
    0.87
    ?,
    0.79
    !?
    0.72
     fuss
    0.72
    ?
    0.71
    ?'
    0.70
    ?]
    0.70
    ?!"
    0.70
    ?!
    0.70
    Activations Density 0.254%

    No Known Activations