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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. 6-RES-JB
    11. 13876
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    INDEX
    Explanations

    mentions of specific names and related actions or interactions on social media

    oai_token-act-pair · gpt-3.5-turbo

    references to public figures and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢij
    -0.85
     glim
    -0.70
    ©¶æ¥µ
    -0.67
    Abstract
    -0.66
    —
    -0.65
    ,—
    -0.65
    inarily
    -0.64
    ersen
    -0.64
    Table
    -0.63
    Enlarge
    -0.62
    POSITIVE LOGITS
     @
    1.13
     congr
    0.96
    DonaldTrump
    0.95
     Dems
    0.93
    sic
    0.92
     #
    0.92
     pics
    0.91
     retweet
    0.90
    OTUS
    0.89
     ðŁ
    0.89
    Activations Density 0.437%

    No Known Activations