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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6589
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    Explanations

    commands or instructions related to various processes

    oai_token-act-pair · gpt-3.5-turbo

    imperative or instructive phrases

    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
    "—
    -0.77
    ".[
    -0.77
    )].
    -0.70
    ."[
    -0.67
    ]."
    -0.65
    )—
    -0.65
    arth
    -0.64
    ]).
    -0.64
    ".
    -0.63
    SPONSORED
    -0.62
    POSITIVE LOGITS
    cknowled
    0.76
    oret
    0.70
    itialized
    0.60
    cknow
    0.58
    expensive
    0.56
    neath
    0.55
     Ago
    0.52
    itionally
    0.52
    quartered
    0.52
    verning
    0.50
    Activations Density 0.599%

    No Known Activations