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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. 9-RES-JB
    11. 23015
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    Explanations

    important points or topics within a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various issues or topics of concern

    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
     "<
    -0.79
     ItemLevel
    -0.63
    ĸļ
    -0.62
    ople
    -0.61
    Fight
    -0.60
     Franç
    -0.59
    gaard
    -0.59
    Interstitial
    -0.59
     Charl
    -0.58
    externalActionCode
    -0.57
    POSITIVE LOGITS
     involves
    0.90
     relates
    0.88
     overlooked
    0.83
    etsy
    0.76
    orthy
    0.74
     factor
    0.74
     besides
    0.74
     includes
    0.72
     interven
    0.72
     noteworthy
    0.71
    Activations Density 0.211%

    No Known Activations