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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. 1-RES-JB
    11. 21637
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    INDEX
    Explanations

    references to written or verbal accounts of events or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to stories in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erate
    -0.85
    assembly
    -0.77
    inence
    -0.77
    orneys
    -0.76
    ipher
    -0.75
    alus
    -0.75
    irm
    -0.74
    rotein
    -0.73
    ocol
    -0.72
    xual
    -0.72
    POSITIVE LOGITS
     stories
    1.27
     tales
    1.26
     Stories
    1.14
     anecdotes
    0.97
    stories
    0.91
     arcs
    0.86
     narratives
    0.84
     Reincarn
    0.84
     revolving
    0.82
     tale
    0.80
    Activations Density 0.018%

    No Known Activations