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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. 3-RES-JB
    11. 5858
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    INDEX
    Explanations

    references to a specific organization or company

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific organization related to lobbying activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.73
    shall
    -0.72
     Surviv
    -0.70
     Ibid
    -0.68
    falls
    -0.67
     Semin
    -0.67
    water
    -0.67
     Rita
    -0.66
    BuyableInstoreAndOnline
    -0.64
    waters
    -0.63
    POSITIVE LOGITS
    obby
    1.13
     Lobby
    1.09
    bucks
    0.96
    nels
    0.96
    ists
    0.82
    amine
    0.81
    abies
    0.81
     shop
    0.78
    rists
    0.76
     obsess
    0.74
    Activations Density 0.013%

    No Known Activations