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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. 1-RES-JB
    11. 13340
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    Explanations

    mentions of specific names or entities, particularly related to certain political events

    oai_token-act-pair · gpt-3.5-turbo

    names or terms related to specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alger
    -0.66
     Hammond
    -0.65
     Homs
    -0.64
     Sudan
    -0.63
     Libya
    -0.63
     Kubrick
    -0.62
    Lib
    -0.61
    erie
    -0.61
     fracking
    -0.61
    ISO
    -0.60
    POSITIVE LOGITS
    manship
    1.15
    nces
    1.04
    orship
    1.03
    oÄŁ
    1.00
    lessly
    0.97
    ful
    0.96
    fulness
    0.89
    cyclop
    0.88
    orial
    0.88
    icular
    0.87
    Activations Density 0.029%

    No Known Activations