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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. 97
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    Explanations

    data related to household statistics and income distribution

    oai_token-act-pair · gpt-3.5-turbo

    references to households

    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
    Downloadha
    -0.69
    iasis
    -0.67
    heimer
    -0.67
     Peel
    -0.60
    pres
    -0.60
     heel
    -0.60
     Verb
    -0.59
     cover
    -0.58
     Prom
    -0.58
     Pike
    -0.57
    POSITIVE LOGITS
     households
    0.96
    chool
    0.91
    mates
    0.87
     dwellings
    0.86
    folk
    0.83
     incomes
    0.82
    bage
    0.78
    izen
    0.75
    ahime
    0.75
    poons
    0.74
    Activations Density 0.012%

    No Known Activations