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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. 22506
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    INDEX
    Explanations

    references to high-profile events or individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "high-profile" cases or individuals

    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
    otent
    -0.72
    shall
    -0.71
     Oo
    -0.66
     GENERAL
    -0.66
    agan
    -0.64
    early
    -0.63
    upon
    -0.62
    ogie
    -0.61
     absolutely
    -0.59
    ater
    -0.59
    POSITIVE LOGITS
    profile
    1.24
    Profile
    1.04
     profiles
    0.99
     profile
    0.94
    tenance
    0.89
     è£ıè
    0.87
     Profile
    0.83
    Mask
    0.80
    groups
    0.80
    allery
    0.78
    Activations Density 0.010%

    No Known Activations