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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. 10-RES-JB
    6. 21224
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    Explanations

    IC-related codes

    oai_token-act-pair · gpt-3.5-turbo

    references to the International Consortium of Investigative Journalists (ICIJ)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itism
    -0.78
    wich
    -0.75
    hood
    -0.67
    hip
    -0.67
    ments
    -0.66
    tenance
    -0.66
    spread
    -0.66
    wards
    -0.65
    selves
    -0.65
    zee
    -0.64
    POSITIVE LOGITS
    ANN
    1.28
    IJ
    1.01
    trl
    1.00
    ustom
    0.99
    BM
    0.93
    ategory
    0.93
    ritical
    0.92
    ULAR
    0.92
    ross
    0.89
    REAM
    0.89
    Activations Density 0.036%

    No Known Activations