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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. 5-RES-JB
    6. 485
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    INDEX
    Explanations

    specific programming keywords or commands

    oai_token-act-pair · gpt-3.5-turbo

    interrogative or introductory phrases indicating conditions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CT
    -0.61
     +/-
    -0.61
     guiActiveUnfocused
    -0.60
     �
    -0.59
     biod
    -0.57
     wheelchair
    -0.57
     theirs
    -0.56
     float
    -0.55
     |--
    -0.54
     Ecuador
    -0.53
    POSITIVE LOGITS
    resa
    1.00
    enhagen
    0.99
    iannopoulos
    0.95
    ibliography
    0.88
    mosp
    0.85
    cloneembedreportprint
    0.79
    ngth
    0.79
    odore
    0.79
    romeda
    0.78
    llor
    0.77
    Activations Density 0.528%

    No Known Activations