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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. 10-RES-JB
    11. 10207
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    INDEX
    Explanations

    years and numbers indicating accomplishments or awards

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     awoke
    -0.74
    tip
    -0.74
    isphere
    -0.69
    advertisement
    -0.64
    inventoryQuantity
    -0.64
    iquid
    -0.64
    GROUND
    -0.63
    oldown
    -0.63
     intens
    -0.63
     è£ıè
    -0.62
    POSITIVE LOGITS
     1997
    1.21
     1998
    1.18
     1988
    1.15
     1996
    1.14
     1987
    1.13
     1995
    1.13
     1978
    1.12
     2003
    1.11
     2002
    1.11
     1999
    1.11
    Activations Density 0.134%

    No Known Activations