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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
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    Explanations

    the name "Hagel" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or individual, particularly "Hag."

    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
    âķIJâķIJ
    -0.77
     Scotia
    -0.66
     Advertisement
    -0.66
    PsyNetMessage
    -0.65
    bably
    -0.63
    ODUCT
    -0.63
    Rare
    -0.62
     chance
    -0.62
     prem
    -0.60
    @#&
    -0.59
    POSITIVE LOGITS
    glers
    1.38
     Hag
    1.03
    nuts
    1.02
    bard
    0.94
    nut
    0.92
    heed
    0.92
    reen
    0.88
    raph
    0.87
    rod
    0.86
    rats
    0.85
    Activations Density 0.005%

    No Known Activations