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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. 7-RES-JB
    11. 3526
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    INDEX
    Explanations

    adjectives indicating degree or quality

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of quality or strength

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hops
    -0.87
    steps
    -0.84
    lees
    -0.84
    rooms
    -0.82
    packages
    -0.81
    reports
    -0.81
    clips
    -0.80
    redients
    -0.80
    ernels
    -0.80
    ometers
    -0.79
    POSITIVE LOGITS
     chunk
    0.99
     piece
    0.95
     person
    0.91
     dose
    0.90
     amount
    0.90
     standpoint
    0.89
     portion
    0.88
     swath
    0.87
     bunch
    0.86
     sized
    0.85
    Activations Density 0.393%

    No Known Activations