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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. 9-RES-JB
    11. 5626
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    Explanations

    the word "base" with various levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the word "base" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oso
    -0.79
    asar
    -0.72
    umbnails
    -0.71
     Luther
    -0.70
    icer
    -0.69
    oping
    -0.69
    IDA
    -0.68
    icol
    -0.67
    IGHTS
    -0.67
     Gleaming
    -0.66
    POSITIVE LOGITS
    camp
    1.20
    plate
    1.03
    plates
    0.98
    ball
    0.92
    band
    0.89
    hog
    0.83
    BALL
    0.81
    coat
    0.80
     erosion
    0.75
    tenance
    0.75
    Activations Density 0.028%

    No Known Activations