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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

    mentions of the word "honey"

    oai_token-act-pair · gpt-3.5-turbo

    references to honey

    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
    aneous
    -0.91
    aneously
    -0.86
    osure
    -0.80
    ATIONS
    -0.80
    uers
    -0.78
    ative
    -0.71
     WATCHED
    -0.68
    ================================================================
    -0.67
    ŃĶ
    -0.66
    ativity
    -0.66
    POSITIVE LOGITS
    moon
    1.29
     bee
    1.13
    bees
    1.09
    bee
    1.08
    comb
    1.05
     honey
    1.01
     bees
    0.94
     Honey
    0.89
    bean
    0.86
     Bee
    0.85
    Activations Density 0.006%

    No Known Activations