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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. 4-RES-JB
    11. 18398
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    Explanations

    mentions of specific names, possibly related to individuals or places, particularly the name "Levy"

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals and entities mentioned in the context of events or actions

    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
    osc
    -0.98
    emonic
    -0.95
    ayan
    -0.90
    ulhu
    -0.84
    glers
    -0.82
    emen
    -0.81
    estones
    -0.79
    adelphia
    -0.78
    itia
    -0.76
    olith
    -0.76
    POSITIVE LOGITS
     Hots
    0.74
     Lawyers
    0.69
     summed
    0.64
     Hatch
    0.63
     Jarrett
    0.63
    eff
    0.62
    rely
    0.60
    è¦ļéĨĴ
    0.59
     Scarlett
    0.58
     Levy
    0.58
    Activations Density 0.035%

    No Known Activations