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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. 13086
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    INDEX
    Explanations

    phrases related to emphasis, importance, and achievements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating possession or relationships

    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
    zers
    -0.75
    zer
    -0.73
    FN
    -0.65
    hett
    -0.63
    zee
    -0.62
    ynes
    -0.62
    krit
    -0.61
    kat
    -0.59
    ']
    -0.58
    zman
    -0.56
    POSITIVE LOGITS
     sorts
    1.86
     course
    1.54
     theirs
    1.38
     ours
    1.35
     hers
    1.32
     mine
    1.30
    course
    1.29
     yours
    1.24
     COUR
    0.98
     omission
    0.87
    Activations Density 0.332%

    No Known Activations