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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. 2-RES-JB
    11. 7564
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    Explanations

    mentions of film production processes and roles involved

    oai_token-act-pair · gpt-3.5-turbo

    terms related to film production and casting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Merc
    -0.71
    anton
    -0.68
    hap
    -0.68
    gencies
    -0.67
     Wealth
    -0.66
     Econom
    -0.65
    pkg
    -0.63
    protein
    -0.63
    laus
    -0.63
    gn
    -0.63
    POSITIVE LOGITS
    writer
    1.16
    writers
    1.10
     actresses
    1.07
    wright
    0.98
     actress
    0.97
    acters
    0.95
     films
    0.91
     opera
    0.86
     adaptation
    0.85
    writing
    0.84
    Activations Density 0.434%

    No Known Activations