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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. 0-RES-JB
    6. 813
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    Explanations

    names, particularly "Dodd" and "Newark"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and entities, particularly 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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Porn
    -0.74
     pel
    -0.73
    Vict
    -0.71
     porn
    -0.70
     favourites
    -0.69
     pellets
    -0.69
    itas
    -0.68
     Hungry
    -0.68
     Nuggets
    -0.68
     aval
    -0.68
    POSITIVE LOGITS
     Dodd
    2.62
    itary
    1.47
     Byrne
    1.31
     Newport
    1.27
     Newark
    1.21
     premature
    1.20
     Hond
    1.20
    ohn
    1.11
    erred
    1.10
    hap
    1.05
    Activations Density 0.045%

    No Known Activations