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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. 10-RES-JB
    11. 8416
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    Explanations

    statements related to events by date and location

    oai_token-act-pair · gpt-3.5-turbo
    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
    geist
    -0.81
    =-=-=-=-=-=-=-=-
    -0.67
    aimon
    -0.66
    milo
    -0.61
    obyl
    -0.61
    meric
    -0.60
     TOTAL
    -0.59
    dden
    -0.59
    cius
    -0.57
    iris
    -0.57
    POSITIVE LOGITS
     sparking
    1.23
     marking
    1.22
     prompting
    1.22
     triggering
    1.11
     citing
    1.10
     pledging
    1.04
     confirming
    1.04
     paving
    1.01
     alleging
    1.00
     provoking
    0.99
    Activations Density 0.246%

    No Known Activations