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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. 16913
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    Explanations

    sentences transitioning to a new topic or section in a text

    oai_token-act-pair · gpt-3.5-turbo

    box office revenue figures of movies

    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
     ..."
    -0.30
    !".
    -0.27
    )."
    -0.26
     ."
    -0.26
     [...]
    -0.25
    ]."
    -0.23
    ".
    -0.23
    ".[
    -0.23
    ?".
    -0.23
    .).
    -0.23
    POSITIVE LOGITS
    esides
    0.21
    atform
    0.21
    ivot
    0.20
    roups
    0.19
    olit
    0.18
    raltar
    0.17
    onents
    0.17
    ouple
    0.17
    rina
    0.17
    argo
    0.16
    Activations Density 6.435%

    No Known Activations