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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. 9286
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    Explanations

    words related to encountering or discovering something, often in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the article "a" and its variants 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
    alties
    -0.90
    Contents
    -0.90
    obar
    -0.84
    anism
    -0.78
    Weapons
    -0.74
     denies
    -0.73
    Exit
    -0.73
    excluding
    -0.73
    )</
    -0.72
     depends
    -0.72
    POSITIVE LOGITS
     guy
    1.17
     strange
    1.13
     mysterious
    1.09
     cowork
    1.03
     rumor
    1.03
     wonderful
    1.03
     lovely
    0.99
     fascinating
    0.99
     delightful
    0.96
     bunch
    0.95
    Activations Density 0.350%

    No Known Activations