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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. 5-RES-JB
    6. 14860
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    Explanations

    positive and negative qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    phrases highlighting positive aspects or "good things" about a topic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chair
    -0.82
    urated
    -0.79
    igate
    -0.73
    mens
    -0.73
    ALK
    -0.72
    utm
    -0.71
    rained
    -0.70
    20439
    -0.69
    eyes
    -0.69
    alf
    -0.69
    POSITIVE LOGITS
     kicker
    0.82
     bonus
    0.73
     Bonus
    0.70
     Solitaire
    0.69
     downside
    0.69
     happens
    0.64
    Bonus
    0.64
    :]
    0.64
     surprises
    0.63
     Pinball
    0.62
    Activations Density 0.197%

    No Known Activations