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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. 7-RES-JB
    11. 19248
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    Explanations

    adjectives related to high quality or positive characteristics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "well" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ategory
    -0.72
    rely
    -0.70
    hyde
    -0.69
    hip
    -0.68
    omore
    -0.63
     Trace
    -0.63
    iolet
    -0.62
    ité
    -0.60
    iferation
    -0.58
    ataka
    -0.57
    POSITIVE LOGITS
    spring
    1.28
    esley
    0.93
    ards
    0.87
    enough
    0.85
     behaved
    0.83
    spr
    0.79
    worn
    0.76
    nah
    0.76
    placed
    0.76
    marked
    0.76
    Activations Density 0.034%

    No Known Activations