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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. 10-RES-JB
    11. 4782
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    Explanations

    references to the concept of success

    oai_token-act-pair · gpt-3.5-turbo

    the concept of success in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     iodine
    -0.67
    odon
    -0.63
    agine
    -0.60
     allerg
    -0.60
     vomit
    -0.60
    othy
    -0.59
     superflu
    -0.58
    shapeshifter
    -0.57
     stray
    -0.57
     ox
    -0.57
    POSITIVE LOGITS
    ful
    1.15
    ively
    1.15
    fully
    1.14
    full
    1.04
     rate
    0.97
    fulness
    0.96
    iveness
    0.92
    rate
    0.91
    Rate
    0.90
    orship
    0.90
    Activations Density 0.042%

    No Known Activations