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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. 2-RES-JB
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    Explanations

    the abbreviation "SI" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the publication Sports Illustrated and related references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    busters
    -0.82
    side
    -0.78
    woman
    -0.76
    fired
    -0.76
    ilater
    -0.74
    lessly
    -0.74
    notice
    -0.68
     NCT
    -0.68
    later
    -0.68
    lain
    -0.67
    POSITIVE LOGITS
    SI
    1.13
    BILITIES
    0.86
    OLOG
    0.83
    FFER
    0.83
    UF
    0.81
    KK
    0.80
     SI
    0.79
    ZI
    0.79
    pler
    0.78
    UE
    0.78
    Activations Density 0.007%

    No Known Activations