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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    mentions of the name "Gillette"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Gil"

    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
    xual
    -0.87
    ItemTracker
    -0.72
    rophic
    -0.72
    SpaceEngineers
    -0.68
    ainment
    -0.65
     nomine
    -0.64
    anwhile
    -0.63
    orp
    -0.62
     Impossible
    -0.62
     lia
    -0.61
    POSITIVE LOGITS
     Gil
    1.18
    berto
    1.05
    Gil
    1.00
    games
    0.92
    lette
    0.91
    boa
    0.91
    gins
    0.86
    TERN
    0.85
    anguage
    0.82
    STON
    0.82
    Activations Density 0.009%

    No Known Activations