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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. 9-RES-JB
    11. 11341
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    INDEX
    Explanations

    descriptive adjectives or phrases indicating evaluation or opinion

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "it"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     paran
    -0.60
    evil
    -0.59
     Dayton
    -0.56
     Eighth
    -0.55
    anton
    -0.54
     heartbeat
    -0.52
    kie
    -0.52
    ————————
    -0.51
    former
    -0.51
    VA
    -0.51
    POSITIVE LOGITS
     beh
    1.27
     seems
    1.26
     begs
    1.11
     appears
    1.09
     becomes
    1.06
     seemed
    1.04
    zik
    1.03
    chy
    1.01
     Seems
    1.00
    unes
    0.99
    Activations Density 0.193%

    No Known Activations