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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 24123
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    Explanations

    words related to policies and legislative actions, particularly related to healthcare, trade deals, border security, and tax cuts

    oai_token-act-pair · gpt-3.5-turbo

    themes related to politics, particularly regarding legislation and funding issues

    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
    ;;;;;;;;;;;;
    -0.83
    iple
    -0.80
    IFF
    -0.76
     Wim
    -0.76
    enez
    -0.75
     Barcelona
    -0.73
     Thames
    -0.73
    external
    -0.73
    onyms
    -0.73
    å
    -0.71
    POSITIVE LOGITS
     repeal
    1.00
     reform
    0.97
     appropriations
    0.95
     policy
    0.90
     subcommittee
    0.88
     amendment
    0.88
     cz
    0.87
    amacare
    0.84
     overhaul
    0.83
     Subcommittee
    0.83
    Activations Density 0.401%

    No Known Activations