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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. 0-RES-JB
    11. 13485
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    Explanations

    references to the Warner company

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Warner or its associated entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abs
    -0.71
    irc
    -0.69
    aches
    -0.67
     á
    -0.65
    aching
    -0.64
     chickens
    -0.63
    etooth
    -0.63
    ction
    -0.61
    aph
    -0.61
     beads
    -0.61
    POSITIVE LOGITS
     Warner
    3.98
    War
    1.46
     Paramount
    1.34
     WB
    1.34
     MGM
    1.27
     Snyder
    1.25
     Activision
    1.23
     Fairfax
    1.20
     Feinstein
    1.15
     Burton
    1.10
    Activations Density 0.015%

    No Known Activations