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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. 11558
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    Explanations

    instances where the document discusses reasons, explanations, or causes for certain situations or events

    oai_token-act-pair · gpt-3.5-turbo

    questions or terms that inquire about conditions or situations

    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
    estern
    -0.69
     respectively
    -0.63
    aturday
    -0.60
    selves
    -0.59
    redd
    -0.57
     actionGroup
    -0.56
    -+-+-+-+
    -0.56
    ashtra
    -0.56
     yourselves
    -0.55
    aneous
    -0.55
    POSITIVE LOGITS
     it
    1.73
    Its
    1.62
     its
    1.46
     Its
    1.39
    its
    1.20
    it
    1.15
     It
    1.11
    It
    1.07
     ITS
    1.02
     IT
    0.78
    Activations Density 1.770%

    No Known Activations