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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. 7-RES-JB
    6. 6587
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    Explanations

    adjectives related to being slim or having a minimalistic approach

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "lean" and related terms

    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
    ilage
    -1.10
    ilet
    -0.83
    iles
    -0.80
    uber
    -0.79
    ãĤ»
    -0.76
    protected
    -0.75
    ourses
    -0.74
    plain
    -0.73
    cel
    -0.73
    vous
    -0.73
    POSITIVE LOGITS
     toward
    0.97
     lean
    0.90
     towards
    0.90
     shoulders
    0.87
     leaning
    0.85
     horizont
    0.84
     heaviest
    0.84
    utenant
    0.82
     forward
    0.79
    tip
    0.75
    Activations Density 0.032%

    No Known Activations