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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. 2768
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    Explanations

    details about specific roles played by actors

    oai_token-act-pair · gpt-3.5-turbo

    references to roles and performances of actors in film and television

    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
     inev
    -0.63
     manageable
    -0.57
     secrecy
    -0.56
    erity
    -0.56
     consequence
    -0.56
    erous
    -0.56
    hem
    -0.56
     culmination
    -0.55
     correctness
    -0.55
    apest
    -0.54
    POSITIVE LOGITS
    çīĪ
    0.89
     elsewhere
    0.85
    odied
    0.80
     stint
    0.80
     briefly
    0.79
     alongside
    0.78
    ãĤ¶
    0.77
    Alias
    0.75
    senal
    0.74
     onstage
    0.74
    Activations Density 0.368%

    No Known Activations