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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. 4-RES-JB
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    Explanations

    terms related to physical spaces, particularly lobbies

    oai_token-act-pair · gpt-3.5-turbo

    references to various lobbying groups and the concept of a lobby in general

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

    No Comments

    Negative Logits
    orah
    -0.69
     Crus
    -0.67
    tics
    -0.67
    DIT
    -0.67
    bian
    -0.66
    fal
    -0.65
    elf
    -0.65
    birds
    -0.63
     Runes
    -0.63
    videos
    -0.63
    POSITIVE LOGITS
     lobb
    1.10
     lobby
    1.04
     Lobby
    0.93
    ature
    0.88
    uppet
    0.79
    busters
    0.76
    naires
    0.76
    creen
    0.76
    arten
    0.74
    uese
    0.74
    Activations Density 0.010%

    No Known Activations