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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. 7-RES-JB
    11. 19008
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    Explanations

    numbers with units and measurements

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to various societal issues and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olen
    -0.86
    etheless
    -0.81
    -+-+
    -0.81
    bledon
    -0.74
    aneously
    -0.74
    enta
    -0.72
    imov
    -0.71
    Interstitial
    -0.71
    anus
    -0.70
    ij
    -0.70
    POSITIVE LOGITS
     frenzy
    1.14
     bandwagon
    1.07
     category
    1.00
     checklist
    0.98
     mode
    0.93
     quota
    0.90
     program
    0.88
     crusade
    0.87
     trend
    0.87
     implications
    0.86
    Activations Density 0.846%

    No Known Activations