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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. 9-RES-JB
    6. 4532
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    Explanations

    references to promotional content such as images, screenshots, titles, and product descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to limited edition or special publications

    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
    ).[
    -0.62
    ".[
    -0.60
    ."[
    -0.54
    ''.
    -0.53
    ]."
    -0.47
    )).
    -0.47
    )."
    -0.45
    .).
    -0.45
     ".
    -0.44
    .�
    -0.44
    POSITIVE LOGITS
    esides
    0.39
    ideos
    0.37
    ridor
    0.36
    itialized
    0.36
    Split
    0.35
    reenshots
    0.35
    iets
    0.35
    erenn
    0.34
    ollower
    0.34
    rollers
    0.34
    Activations Density 4.509%

    No Known Activations