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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. 6185
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    Explanations

    references to organized protests

    oai_token-act-pair · gpt-3.5-turbo

    references to protests and related activities

    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
    theless
    -0.82
    illac
    -0.78
    efficients
    -0.77
    ewater
    -0.75
    ccording
    -0.73
    nown
    -0.71
    oiler
    -0.70
    ------------------------------------------------
    -0.68
    laus
    -0.66
    paste
    -0.65
    POSITIVE LOGITS
     encamp
    0.83
    ations
    0.78
     protestors
    0.76
    aires
    0.75
     protest
    0.72
    rained
    0.72
     organizers
    0.71
     against
    0.70
     protesting
    0.70
     demonstrators
    0.70
    Activations Density 0.026%

    No Known Activations