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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. 7270
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    INDEX
    Explanations

    references to specific organizations and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to locations or organizations

    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
     fulfil
    -0.86
     realised
    -0.76
     whilst
    -0.71
    isable
    -0.66
     maths
    -0.63
     arte
    -0.63
     flavour
    -0.62
     learnt
    -0.62
     Whilst
    -0.62
    Firstly
    -0.61
    POSITIVE LOGITS
     statewide
    0.82
    Alert
    0.77
     Asheville
    0.71
     federally
    0.68
     Boise
    0.67
     Southwest
    0.67
     sidewalks
    0.67
     Northeast
    0.67
     nonprofit
    0.65
     COUNTY
    0.65
    Activations Density 4.555%

    No Known Activations