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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. 10-RES-JB
    11. 5019
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    Explanations

    statistics related to increases or decreases in various quantities over time

    oai_token-act-pair · gpt-3.5-turbo

    statistical trends or significant changes over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.86
    ))))
    -0.67
     airs
    -0.64
    Ĥ¬
    -0.62
     oath
    -0.61
    vec
    -0.59
    RAW
    -0.58
     Loaded
    -0.58
     salvage
    -0.58
    pard
    -0.58
    POSITIVE LOGITS
     compared
    1.02
     since
    0.86
     OECD
    0.86
     decade
    0.82
    Compare
    0.81
     relative
    0.80
     (%
    0.80
     correlates
    0.79
     (âĪĴ
    0.78
    Compared
    0.77
    Activations Density 0.257%

    No Known Activations