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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. 21054
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    Explanations

    proper names of companies, particularly focusing on Comcast, JPMorgan Chase, Chevron, and McLaren

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific corporations or companies

    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
    lf
    -0.75
    geries
    -0.71
    debian
    -0.68
    gery
    -0.68
     Krug
    -0.68
    ebin
    -0.67
    arist
    -0.67
    ggies
    -0.66
    ãĥł
    -0.65
    orically
    -0.65
    POSITIVE LOGITS
    anooga
    0.81
     Corp
    0.78
     Corporation
    0.77
    nect
    0.76
     Cable
    0.73
    plex
    0.73
    icut
    0.72
    conn
    0.68
    DAQ
    0.67
     Comcast
    0.66
    Activations Density 0.007%

    No Known Activations