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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. 0-RES-JB
    6. 3187
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    Explanations

    phrases related to news and events coverage

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to counterproductive actions or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     antioxid
    -0.96
    RESULTS
    -0.80
     ingred
    -0.70
    OHN
    -0.70
    Balt
    -0.68
    SPONSORED
    -0.66
    ROR
    -0.64
     enthusi
    -0.64
     pestic
    -0.63
    IDA
    -0.62
    POSITIVE LOGITS
     ItemLevel
    0.74
    enfranch
    0.74
    itially
    0.72
    mosp
    0.72
    rue
    0.71
    ividual
    0.71
    rike
    0.70
    ogun
    0.67
    ilege
    0.65
     BaseType
    0.63
    Activations Density 12.545%

    No Known Activations