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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. 8-RES-JB
    11. 11363
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    Explanations

    phrases related to quick actions or changes

    oai_token-act-pair · gpt-3.5-turbo

    instances of rapid changes or developments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yet
    -0.81
    matically
    -0.73
    psey
    -0.67
    yip
    -0.66
    harm
    -0.65
    initely
    -0.65
    =-=-=-=-=-=-=-=-
    -0.65
    pak
    -0.63
    udi
    -0.62
    hematically
    -0.62
    POSITIVE LOGITS
     thereafter
    0.90
     became
    0.84
     followed
    0.84
     become
    0.82
     forgotten
    0.82
     embraced
    0.80
     noticed
    0.76
     overwhelmed
    0.76
     surpassed
    0.76
     partName
    0.75
    Activations Density 0.120%

    No Known Activations