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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. 11-RES-JB
    11. 9844
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    INDEX
    Explanations

    mentions of knowledge or expertise

    oai_token-act-pair · gpt-3.5-turbo

    references to knowledge and understanding in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    odder
    -0.72
    itter
    -0.68
    sty
    -0.64
    emale
    -0.62
     Pengu
    -0.61
    odd
    -0.61
     Temper
    -0.59
    issions
    -0.58
    dule
    -0.57
    raine
    -0.56
    POSITIVE LOGITS
    ledge
    1.09
     glean
    0.99
     gained
    0.97
    lege
    0.93
     about
    0.93
    fulness
    0.91
    base
    0.90
     comprehension
    0.84
     pertaining
    0.84
     base
    0.82
    Activations Density 0.060%

    No Known Activations