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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. 6-RES-JB
    11. 20346
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    Explanations

    prepositional phrases indicating a source, origin, or arrival

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" with different contexts and frequencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.81
    tein
    -0.61
     Tale
    -0.61
     motives
    -0.60
     motivations
    -0.60
    PIN
    -0.59
     rede
    -0.59
    âĢ¢âĢ¢
    -0.58
     Bucc
    -0.56
    =]
    -0.56
    POSITIVE LOGITS
     handy
    1.02
    ordinate
    1.00
    between
    0.96
    offensive
    0.89
    escap
    0.82
    order
    0.80
    ividual
    0.79
    animate
    0.78
    strument
    0.78
    versely
    0.77
    Activations Density 0.063%

    No Known Activations