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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. 4-RES-JB
    11. 1710
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

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

    No Comments

    Negative Logits
    arily
    -0.83
    vironment
    -0.74
     Chilean
    -0.74
    ged
    -0.72
     Ou
    -0.70
    phan
    -0.70
    choes
    -0.70
    usterity
    -0.69
    acular
    -0.68
    atics
    -0.68
    POSITIVE LOGITS
    ENS
    0.79
    Sharp
    0.78
    ENSE
    0.72
    ense
    0.72
    layer
    0.71
    hips
    0.70
    mann
    0.68
    Beer
    0.68
    inelli
    0.67
    kell
    0.67
    Activations Density 0.026%

    No Known Activations