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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. 6033
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    INDEX
    Explanations

    names of individuals mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
    Offline
    -0.73
    venge
    -0.65
     Thumbnails
    -0.62
     horizont
    -0.61
    Bound
    -0.61
    leep
    -0.58
    psons
    -0.58
    reddit
    -0.57
     Birthday
    -0.57
    ÃįÃį
    -0.57
    POSITIVE LOGITS
     said
    1.52
     added
    1.45
     explained
    1.39
     noted
    1.27
     cautioned
    1.23
     argued
    1.20
     emphasized
    1.18
     joked
    1.15
     concluded
    1.14
     pointed
    1.14
    Activations Density 0.103%

    No Known Activations