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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 15312
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    Explanations

    adjectives describing positive attributes

    oai_token-act-pair · gpt-3.5-turbo

    words associated with positive attributes and emotional states

    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
     Tanz
    -0.68
     Eston
    -0.67
     Lans
    -0.65
     Edison
    -0.63
     Aren
    -0.62
     Continental
    -0.62
     Reloaded
    -0.60
     Bed
    -0.60
     Finnish
    -0.59
     federally
    -0.58
    POSITIVE LOGITS
    fully
    1.82
    ful
    1.78
    fulness
    1.56
    full
    1.55
    lessly
    1.53
    less
    1.42
    ably
    1.35
    lessness
    1.32
    abl
    1.31
    FUL
    1.30
    Activations Density 0.316%

    No Known Activations