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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
    11. 9696
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    Explanations

    mentions of environmental pollution, specifically littering, and illegal activities related to it

    oai_token-act-pair · gpt-3.5-turbo

    mentions of environmental pollution and littering

    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
    ccording
    -0.75
    iggurat
    -0.73
    HAHAHAHA
    -0.73
    akespe
    -0.69
     Azerb
    -0.67
    iscopal
    -0.67
    ACP
    -0.66
    asar
    -0.65
    atever
    -0.62
    abama
    -0.62
    POSITIVE LOGITS
     litter
    1.12
    mates
    0.90
    gate
    0.90
    bugs
    0.89
    wich
    0.85
    box
    0.80
    alog
    0.79
    asso
    0.77
    alogy
    0.77
    bug
    0.76
    Activations Density 0.009%

    No Known Activations