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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. 10-RES-JB
    11. 21491
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    Explanations

    dates and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "The" followed by important nouns, likely indicating a focus on significant events or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢº
    -0.81
    cellent
    -0.78
    ="#
    -0.76
    yip
    -0.75
    arse
    -0.74
     -->
    -0.73
     unless
    -0.72
    icone
    -0.70
     namely
    -0.70
    hy
    -0.70
    POSITIVE LOGITS
     ensuing
    1.51
     subsequent
    1.39
     resultant
    1.15
     eventual
    1.06
     resulting
    1.03
     hindsight
    1.01
     impetus
    0.99
    sequent
    0.98
     demise
    0.97
     debacle
    0.96
    Activations Density 0.563%

    No Known Activations