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    1. Home
    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. 22447
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    Explanations

    phrases recommending actions or products

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express recommendations

    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
    brance
    -0.72
     aft
    -0.64
    bang
    -0.62
     Hilbert
    -0.62
    inside
    -0.62
    hatt
    -0.61
    figure
    -0.60
     hostage
    -0.59
     Bom
    -0.59
    behind
    -0.58
    POSITIVE LOGITS
    Recommend
    0.80
    ournals
    0.75
     recommending
    0.73
    recomm
    0.69
    iants
    0.67
     scales
    0.63
    aring
    0.63
     downloading
    0.63
    ered
    0.63
    ENDED
    0.62
    Activations Density 0.055%

    No Known Activations