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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. 20217
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    Explanations

    words related to mistreatment or mistaking

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mist" and its variations related to errors or misunderstandings

    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
     scratch
    -0.66
    lishes
    -0.65
    adesh
    -0.64
     behalf
    -0.62
    mits
    -0.59
    jriwal
    -0.58
    phrine
    -0.58
     Skydragon
    -0.57
     thumbs
    -0.57
     ministry
    -0.57
    POSITIVE LOGITS
    reatment
    1.56
    reated
    1.49
    rans
    1.35
    ypes
    1.27
    reating
    1.27
    arget
    1.16
    mallow
    1.13
    reat
    1.10
    resses
    1.05
    aking
    1.04
    Activations Density 0.034%

    No Known Activations