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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. 8-RES-JB
    6. 18984
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    Explanations

    technical terms related to data analysis and research

    oai_token-act-pair · gpt-3.5-turbo

    references to technical terms and categories related to systems, testing, and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     corrid
    -0.64
    BUG
    -0.63
    Reloaded
    -0.63
    iak
    -0.62
    armac
    -0.60
    Õ
    -0.60
     looph
    -0.59
     conqu
    -0.59
    Leaks
    -0.58
     diversion
    -0.57
    POSITIVE LOGITS
    hips
    1.33
    paces
    1.19
     respectively
    1.09
    hip
    1.06
    pace
    1.02
    mith
    0.97
    ystem
    0.96
     alike
    0.95
    etting
    0.94
    etter
    0.93
    Activations Density 0.602%

    No Known Activations