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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. 3-RES-JB
    11. 15514
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    Explanations

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly Carlson, in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.77
    inent
    -0.69
    Greek
    -0.66
     Eucl
    -0.65
     Sussex
    -0.65
    ãĤ£
    -0.64
     âĺħ
    -0.64
    verified
    -0.64
    rolog
    -0.62
    graded
    -0.62
    POSITIVE LOGITS
     Carlson
    1.26
    hurst
    0.88
    gren
    0.81
    clair
    0.81
    endale
    0.77
     Tonight
    0.72
    espie
    0.72
    agher
    0.71
     Jensen
    0.71
     Osw
    0.70
    Activations Density 0.011%

    No Known Activations