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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. 11704
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    Explanations

    the pattern of "at all"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "at all" in various contexts

    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
    stasy
    -0.61
    jected
    -0.55
    uph
    -0.55
     tru
    -0.54
    vier
    -0.53
    pu
    -0.53
    ppelin
    -0.52
    cel
    -0.52
     GDDR
    -0.52
     Gone
    -0.52
    POSITIVE LOGITS
     times
    1.28
     costs
    0.99
    times
    0.97
     levels
    0.90
     stages
    0.87
    ocating
    0.83
    points
    0.81
     Costs
    0.81
     lengths
    0.79
     angles
    0.78
    Activations Density 0.032%

    No Known Activations