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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. 23868
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    INDEX
    Explanations

    narratives or recounting of events

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with storytelling and personal narratives

    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
    FML
    -0.74
    aligned
    -0.72
    starter
    -0.69
    aki
    -0.67
    tarians
    -0.66
    rame
    -0.65
     blocker
    -0.65
    enta
    -0.63
    paper
    -0.63
    ocrats
    -0.62
    POSITIVE LOGITS
     tales
    1.51
     stories
    1.36
     firsthand
    1.33
     anecdotes
    1.30
     tale
    1.27
    stories
    1.15
     testimonies
    1.15
     adventures
    1.10
     anecdote
    1.08
     harrowing
    1.07
    Activations Density 0.389%

    No Known Activations