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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. 14872
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    Explanations

    mentions of funding or financial support

    oai_token-act-pair · gpt-3.5-turbo

    references to financial support or funding

    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
    endant
    -0.76
    ierre
    -0.75
    chant
    -0.75
    ique
    -0.73
    selves
    -0.73
    76561
    -0.69
    nee
    -0.67
    ographs
    -0.67
    ensen
    -0.67
    endants
    -0.67
    POSITIVE LOGITS
     allocations
    0.97
     agencies
    0.89
     sources
    0.87
     streams
    0.83
     allocation
    0.83
     shortfall
    0.82
     Sources
    0.81
     constraints
    0.81
     allocated
    0.80
     shortages
    0.80
    Activations Density 0.054%

    No Known Activations