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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. 11-RES-JB
    11. 5094
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    INDEX
    Explanations

    references to being at a high position or rank

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "top"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yah
    -0.60
    signed
    -0.59
    ouri
    -0.58
     @@
    -0.56
    scrib
    -0.54
    rew
    -0.53
     Ou
    -0.53
    forced
    -0.51
    gm
    -0.50
    gerald
    -0.50
    POSITIVE LOGITS
     of
    1.06
     thereof
    0.92
    Of
    0.83
     stages
    0.80
     ranks
    0.79
     level
    0.76
     levels
    0.76
    retty
    0.75
     tiers
    0.75
     OF
    0.74
    Activations Density 0.104%

    No Known Activations