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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. 4-RES-JB
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    Explanations

    proper nouns, specifically the name "Rodney"

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Rodney" and terms associated with academic contexts

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

    No Comments

    Negative Logits
    iated
    -0.83
    fall
    -0.79
    arding
    -0.77
    iations
    -0.77
    pins
    -0.75
    ively
    -0.75
    inator
    -0.71
     vest
    -0.69
    burst
    -0.68
    str
    -0.68
    POSITIVE LOGITS
    neys
    1.00
    atown
    0.95
    emonic
    0.87
    ngth
    0.81
    ney
    0.80
    emy
    0.79
    utral
    0.77
    hett
    0.77
    Minor
    0.74
    Sea
    0.73
    Activations Density 0.047%

    No Known Activations