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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. 10-RES-JB
    6. 18709
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ccording
    -0.69
    fitting
    -0.61
     Nanto
    -0.61
    Enlarge
    -0.60
     Woodward
    -0.59
     canine
    -0.58
     validation
    -0.58
    cers
    -0.58
     Zup
    -0.58
     apartheid
    -0.57
    POSITIVE LOGITS
    gmail
    1.42
    yahoo
    1.23
    mail
    0.97
    email
    0.93
    dot
    0.84
    usalem
    0.76
    hot
    0.75
    wordpress
    0.74
    icago
    0.74
    cox
    0.73
    Activations Density 0.019%

    No Known Activations