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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. 11-RES-JB
    11. 17327
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    Explanations

    Phrases related to recurring events or actions indicated by the word "Every"

    oai_token-act-pair · gpt-3.5-turbo

    the repetitive use of the word "Every" indicating a focus on consistency or routine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olas
    -0.85
    ees
    -0.66
    ainment
    -0.63
    skirts
    -0.62
     Papers
    -0.62
    onduct
    -0.60
    agles
    -0.60
    folios
    -0.59
    ipation
    -0.59
    raits
    -0.58
    POSITIVE LOGITS
    where
    1.30
    body
    1.13
    day
    1.11
    THING
    1.10
    time
    1.04
     ounce
    1.03
     year
    0.97
     conceivable
    0.96
     day
    0.93
     single
    0.92
    Activations Density 0.041%

    No Known Activations