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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. 3-RES-JB
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    Explanations

    the word "bespoke."

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "bespoke" or its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kubrick
    -0.64
     Marijuana
    -0.64
     District
    -0.63
    SHIP
    -0.62
     Examiner
    -0.62
     Mariners
    -0.62
     Rite
    -0.62
    Reviewer
    -0.61
     Records
    -0.61
     Oval
    -0.61
    POSITIVE LOGITS
    poke
    0.97
     challeng
    0.97
    iege
    0.91
    es
    0.88
    entimes
    0.88
    semb
    0.88
     bes
    0.86
    cape
    0.84
    bour
    0.82
    pect
    0.82
    Activations Density 0.006%

    No Known Activations