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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. 1-RES-JB
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    Explanations

    references to protests in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of protests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ewater
    -0.75
     seeded
    -0.69
    efficients
    -0.68
    oba
    -0.68
    ccording
    -0.67
    oard
    -0.67
    xus
    -0.67
    Cool
    -0.67
    friend
    -0.65
    uliffe
    -0.64
    POSITIVE LOGITS
     protest
    1.03
     protesting
    0.96
     protests
    0.91
     protestors
    0.89
     uprising
    0.81
     protesters
    0.80
     demonstrators
    0.77
    urous
    0.77
     resistance
    0.75
     revolt
    0.74
    Activations Density 0.014%

    No Known Activations