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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. 6-RES-JB
    11. 9139
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those named Curtis and Vand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ances
    -0.82
    orthy
    -0.75
    arent
    -0.70
    aced
    -0.68
    ously
    -0.66
    lies
    -0.66
    iot
    -0.66
    ods
    -0.65
    HF
    -0.64
    ded
    -0.64
    POSITIVE LOGITS
    prus
    0.82
    selage
    0.70
    eer
    0.70
    ©¶æ¥µ
    0.69
    plin
    0.67
    ãĥ¼ãĥĨãĤ£
    0.67
    ²¾
    0.66
    ãĥģ
    0.66
    allas
    0.66
    anguage
    0.65
    Activations Density 0.074%

    No Known Activations