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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. 9-RES-JB
    11. 9096
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    Explanations

    words related to film production and related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to production processes and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aiman
    -0.81
    leans
    -0.75
    imb
    -0.69
    abies
    -0.68
    uckle
    -0.68
    olulu
    -0.67
    laus
    -0.66
    maxwell
    -0.62
    aque
    -0.62
    bite
    -0.62
    POSITIVE LOGITS
     quotas
    0.74
     Kurdistan
    0.70
     brewery
    0.69
     processes
    0.67
     capacity
    0.67
     methods
    0.66
     process
    0.65
     studios
    0.65
     ministry
    0.65
     Syndicate
    0.63
    Activations Density 0.070%

    No Known Activations