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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. 24195
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    INDEX
    Explanations

    phrases where something is being used for a specific purpose

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "used" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Hai
    -0.71
     Rid
    -0.58
     undertaking
    -0.58
     Roose
    -0.58
     accomplishment
    -0.58
    alos
    -0.57
    Heart
    -0.56
    bitious
    -0.56
    ipeg
    -0.56
     achievement
    -0.54
    POSITIVE LOGITS
     sparing
    1.12
    fully
    0.97
     interchange
    0.86
     captcha
    0.84
     extensively
    0.84
    FUL
    0.82
     wisely
    0.81
     exclusively
    0.78
    pez
    0.76
     inappropriately
    0.75
    Activations Density 0.068%

    No Known Activations