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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. 9-RES-JB
    6. 15212
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    INDEX
    Explanations

    evaluative statements related to morality and acceptability

    oai_token-act-pair · gpt-3.5-turbo

    ethical considerations and judgments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rongh
    -0.61
    oven
    -0.59
    nants
    -0.59
    phabet
    -0.56
    quin
    -0.55
    angs
    -0.55
    ston
    -0.55
    jong
    -0.54
    irie
    -0.54
    along
    -0.53
    POSITIVE LOGITS
     to
    0.82
     folly
    0.78
    ceivable
    0.74
     coincidence
    0.69
     raining
    0.69
     practise
    0.64
     impossible
    0.63
     advisable
    0.62
    ifiable
    0.61
    amus
    0.60
    Activations Density 0.266%

    No Known Activations