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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. 22933
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    ogle
    -0.71
    cale
    -0.69
    vironment
    -0.68
    nn
    -0.68
    uckland
    -0.67
    hap
    -0.67
    atom
    -0.67
    20439
    -0.67
    hip
    -0.66
    issan
    -0.66
    POSITIVE LOGITS
    goers
    0.85
    holders
    0.76
    Connector
    0.75
    wise
    0.73
    holder
    0.71
     Maker
    0.71
     makers
    0.71
    Maker
    0.70
     heterogeneity
    0.68
     lovers
    0.68
    Activations Density 0.563%

    No Known Activations