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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. 3-RES-JB
    11. 4213
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    Explanations

    proper nouns, likely related to companies or products

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and brand names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )=(
    -0.69
     LIMITED
    -0.63
    ĸļ
    -0.62
    earance
    -0.57
    ħĭ
    -0.56
    volent
    -0.56
     duplication
    -0.56
    anwhile
    -0.55
    lopp
    -0.55
    ĻĤ
    -0.54
    POSITIVE LOGITS
    agra
    0.65
     Street
    0.60
    escape
    0.59
    gram
    0.58
     Wars
    0.58
    Care
    0.58
    wra
    0.58
     Scores
    0.57
     Camp
    0.57
     Nights
    0.55
    Activations Density 0.950%

    No Known Activations