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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
    11. 8361
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    Explanations

    phrases that include the word "wh" followed by specific characters or words

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "who" or related question words

    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
    phrine
    -0.71
    ERAL
    -0.70
    uated
    -0.69
    uating
    -0.68
    BACK
    -0.67
    NES
    -0.64
    ATIONS
    -0.63
     Blazers
    -0.62
    interstitial
    -0.62
    DEN
    -0.62
    POSITIVE LOGITS
    ilst
    1.25
    olly
    1.16
    ispers
    1.15
    istle
    1.13
    soever
    1.05
    isky
    1.01
    irlwind
    1.00
    oles
    1.00
    ole
    0.98
    itness
    0.97
    Activations Density 0.008%

    No Known Activations