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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. 9349
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    Explanations

    action-oriented statements related to utilizing features or functionalities

    oai_token-act-pair · gpt-3.5-turbo

    the modal verb "can" in various contexts

    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
    pires
    -0.72
     Hits
    -0.68
    breeding
    -0.65
    bush
    -0.64
    bats
    -0.62
    ONSORED
    -0.61
    ELD
    -0.60
     Federation
    -0.60
     forthcoming
    -0.59
     dwar
    -0.59
    POSITIVE LOGITS
    't
    1.47
     optionally
    1.30
     choose
    1.20
     customize
    1.12
     utilize
    1.08
     specify
    1.08
     omit
    1.08
    NOT
    1.07
     use
    1.06
     easily
    1.05
    Activations Density 0.105%

    No Known Activations