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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22256
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    INDEX
    Explanations

    mentions of political figures, particularly senators

    oai_token-act-pair · gpt-3.5-turbo

    references to senators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manual
    -0.70
     Siberian
    -0.67
     ponies
    -0.66
     oper
    -0.63
    footed
    -0.63
     unmarked
    -0.62
     managerial
    -0.61
     LTD
    -0.61
     hypers
    -0.60
     civilisation
    -0.59
    POSITIVE LOGITS
    iors
    1.35
    eca
    1.05
    pai
    1.04
    escent
    1.02
    esse
    0.98
    egal
    0.96
    olt
    0.93
    ority
    0.90
    ileaks
    0.90
    uary
    0.89
    Activations Density 0.011%

    No Known Activations