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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. 8-RES-JB
    11. 7294
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    Explanations

    phrases indicating expectations or requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express expectations or obligations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tex
    -0.72
     Splash
    -0.60
     Blaz
    -0.58
    lves
    -0.57
    gar
    -0.56
     Bohem
    -0.56
     Quote
    -0.56
    ophone
    -0.56
     Generator
    -0.55
    Allen
    -0.55
    POSITIVE LOGITS
    Æ
    0.76
    ALLY
    0.72
    ivalent
    0.70
    escription
    0.68
    ered
    0.68
    iculty
    0.66
    ña
    0.65
    lessly
    0.64
     bene
    0.64
    ivably
    0.64
    Activations Density 0.037%

    No Known Activations