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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. 13759
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    Explanations

    phrases related to the plot and events in a story

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating narrative structure and character experiences in films

    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
    fax
    -0.80
    bite
    -0.74
    catentry
    -0.72
    OU
    -0.72
    AppData
    -0.72
    Newsletter
    -0.70
    EPA
    -0.69
    POR
    -0.69
    Handle
    -0.69
    Fax
    -0.69
    POSITIVE LOGITS
     protagonist
    0.93
     friendships
    0.87
     characters
    0.84
     friendship
    0.84
     journeys
    0.81
     supernatural
    0.81
     flashbacks
    0.81
     exploration
    0.79
     teenagers
    0.78
     protagonists
    0.78
    Activations Density 0.270%

    No Known Activations