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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. 23168
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    INDEX
    Explanations

    words related to plot elements in a story

    oai_token-act-pair · gpt-3.5-turbo

    references to "plot" within narrative contexts

    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
    IDA
    -0.71
     salts
    -0.63
    agles
    -0.62
    Sales
    -0.61
     ISO
    -0.59
     Mellon
    -0.59
    Jr
    -0.58
     Hosp
    -0.58
     Degree
    -0.58
    anson
    -0.58
    POSITIVE LOGITS
    ters
    1.12
    lines
    1.00
    ter
    1.00
    line
    0.99
     twists
    0.96
     twist
    0.94
     synopsis
    0.90
    ting
    0.90
    sov
    0.88
     Twist
    0.87
    Activations Density 0.038%

    No Known Activations