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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
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    Explanations

    people's names, specifically the name "Graham"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name 'Graham'

    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
    puter
    -0.99
    Rated
    -0.76
    merce
    -0.75
    selves
    -0.73
    ngth
    -0.71
    senal
    -0.69
    cles
    -0.69
    LOAD
    -0.69
     oppos
    -0.67
     CPC
    -0.66
    POSITIVE LOGITS
     Graham
    0.91
     Greene
    0.82
    Graham
    0.81
     Hancock
    0.80
    essen
    0.78
    esse
    0.78
    lees
    0.73
    etti
    0.73
    maxwell
    0.72
     noodles
    0.71
    Activations Density 0.008%

    No Known Activations