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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. 2-RES-JB
    11. 6552
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    Explanations

    names of individuals, specifically surnames, that are preceded by their activation values

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raq
    -0.86
    RAW
    -0.82
    tered
    -0.81
    ãĤ¢ãĥ«
    -0.76
    REAM
    -0.74
    ãĥł
    -0.71
    ropolitan
    -0.71
    urity
    -0.71
    stood
    -0.70
    ored
    -0.69
    POSITIVE LOGITS
     Newman
    0.94
    eter
    0.73
     offic
    0.73
    igon
    0.70
    enstein
    0.70
    esses
    0.68
    quist
    0.68
    stadt
    0.68
    mort
    0.67
    ophon
    0.66
    Activations Density 0.008%

    No Known Activations