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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. 4-RES-JB
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    Explanations

    words related to satisfaction or being satisfied

    oai_token-act-pair · gpt-3.5-turbo

    expressions of satisfaction or contentment

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

    No Comments

    Negative Logits
    plane
    -0.69
    RN
    -0.69
    wikipedia
    -0.66
    sites
    -0.66
    fi
    -0.66
    ffe
    -0.65
    bold
    -0.65
    nature
    -0.64
    planes
    -0.64
    trop
    -0.64
    POSITIVE LOGITS
     satisfied
    1.12
     Satisf
    1.10
     satisfaction
    1.09
    atisf
    1.03
    actory
    1.00
    iated
    0.99
    ments
    0.95
    iable
    0.93
    MENTS
    0.88
    ment
    0.84
    Activations Density 0.015%

    No Known Activations