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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. 1-RES-JB
    11. 5431
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    Explanations

    congratulatory messages or mentions with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Cong" in various contexts, often related to congratulations or congressional references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¨ãĥ«
    -0.77
     Kinnikuman
    -0.76
    pmwiki
    -0.75
     Marketable
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
     logger
    -0.70
     Gleaming
    -0.68
    IPS
    -0.67
    BALL
    -0.66
     Firefly
    -0.65
    POSITIVE LOGITS
     Cong
    1.53
    cong
    1.32
    Cong
    1.29
    regation
    1.16
    regate
    1.06
    church
    1.04
    rats
    0.94
    ressive
    0.87
    rafted
    0.86
    office
    0.83
    Activations Density 0.004%

    No Known Activations