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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. 8-RES-JB
    11. 7961
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    Explanations

    references to legislative processes or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative actions and policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    erd
    -0.84
    vill
    -0.77
    gas
    -0.77
    awar
    -0.76
    light
    -0.74
    ument
    -0.73
    bern
    -0.72
    Var
    -0.72
    watch
    -0.71
    bart
    -0.70
    POSITIVE LOGITS
    isSpecialOrderable
    0.77
    channelAvailability
    0.75
     permitting
    0.72
     bom
    0.72
     Everywhere
    0.72
     enacted
    0.66
    NZ
    0.66
     flows
    0.65
     nightmares
    0.64
    atts
    0.63
    Activations Density 0.090%

    No Known Activations