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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. 11327
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    Explanations

    references to citations and sources

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    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
     seams
    -0.64
     appreci
    -0.61
    eper
    -0.61
    eday
    -0.61
    arov
    -0.59
    oÄŁ
    -0.59
     antioxid
    -0.59
    eri
    -0.57
     reeling
    -0.56
     SAM
    -0.55
    POSITIVE LOGITS
    ...]
    1.41
    âĢ¦]
    1.37
    Pg
    1.36
    ?]
    1.07
    !]
    1.00
    sic
    1.00
    Footnote
    0.99
    .]
    0.91
    REDACTED
    0.90
     ][
    0.88
    Activations Density 0.011%

    No Known Activations