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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. 14347
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to sports statistics or scores

    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
     advoc
    -0.72
    iated
    -0.70
     chin
    -0.69
     bleach
    -0.67
    enture
    -0.67
    ovie
    -0.65
    anguage
    -0.63
     depress
    -0.63
    ioned
    -0.62
    itement
    -0.61
    POSITIVE LOGITS
    08
    1.23
    09
    1.21
    07
    1.20
    05
    1.17
    04
    1.17
    03
    1.17
    02
    1.16
    06
    1.15
    090
    1.09
    089
    1.06
    Activations Density 0.125%

    No Known Activations