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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. 2095
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    INDEX
    Explanations

    actions related to physical pressing or pushing

    oai_token-act-pair · gpt-3.5-turbo

    instructions or commands related to pressing buttons or controls

    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
    nown
    -0.85
    anie
    -0.75
    /-
    -0.71
    obe
    -0.67
    iatus
    -0.66
     redes
    -0.64
    vich
    -0.63
    lihood
    -0.63
    zinski
    -0.61
    aez
    -0.60
    POSITIVE LOGITS
    urized
    1.19
    ured
    0.84
    ur
    0.84
     buttons
    0.84
    ures
    0.83
    press
    0.81
     presses
    0.76
    ioned
    0.71
    agate
    0.71
    ãĥĺ
    0.70
    Activations Density 0.031%

    No Known Activations