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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15489
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    Explanations

    specific mentions of the location "Richmond" within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the location "Richmond."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iatrics
    -0.84
    ppo
    -0.81
    earance
    -0.79
    omsky
    -0.75
    ittance
    -0.75
    merce
    -0.75
    atched
    -0.74
    ãĥł
    -0.74
    atorial
    -0.74
    berman
    -0.73
    POSITIVE LOGITS
    burgh
    0.98
     Heights
    0.96
     Hills
    0.95
    shire
    0.95
     Hill
    0.95
    burg
    0.91
     Roads
    0.87
     Beach
    0.79
    yard
    0.79
     Alley
    0.77
    Activations Density 0.014%

    No Known Activations