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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. 9-RES-JB
    11. 6984
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    INDEX
    Explanations

    cardinal numbers referring to quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    affer
    -0.59
    Reviewer
    -0.56
    ORN
    -0.56
    ELL
    -0.55
    orescence
    -0.54
    attled
    -0.54
     chatter
    -0.54
    ahime
    -0.54
    olute
    -0.53
    pex
    -0.53
    POSITIVE LOGITS
     times
    1.24
     nights
    1.15
     days
    1.04
     mornings
    1.03
     weeks
    1.01
     miles
    1.00
     years
    0.99
     months
    0.98
    times
    0.95
     kilometres
    0.93
    Activations Density 0.170%

    No Known Activations