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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. 6-RES-JB
    6. 11135
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to programming methods and functions

    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
    egal
    -0.68
     tablets
    -0.66
     millenn
    -0.65
    antz
    -0.64
    warm
    -0.63
    女
    -0.62
    SEA
    -0.61
    mpeg
    -0.61
    atonin
    -0.61
     whistlebl
    -0.60
    POSITIVE LOGITS
     invocation
    1.01
    Override
    0.93
     callback
    0.92
     invoked
    0.85
    erred
    0.82
     Expression
    0.76
    invoke
    0.74
    method
    0.74
     stub
    0.73
    ements
    0.72
    Activations Density 0.034%

    No Known Activations