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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. 3-RES-JB
    11. 4973
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    Explanations

    names related to certain individuals, likely in a specific context like entertainment or politics

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to individuals and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ################
    -0.74
    é¾įå¥ij士
    -0.70
    rator
    -0.69
    Asia
    -0.66
    secondary
    -0.65
    ©¶æ
    -0.64
     pupil
    -0.62
    redd
    -0.61
     conspicuous
    -0.61
    Pacific
    -0.61
    POSITIVE LOGITS
    iera
    1.15
     Riv
    1.14
    ieri
    0.85
    ucci
    0.85
    ão
    0.83
    iere
    0.82
    ocity
    0.78
    ella
    0.76
    anches
    0.76
    ivas
    0.73
    Activations Density 0.013%

    No Known Activations