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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. 7-RES-JB
    6. 15861
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    INDEX
    Explanations

    phrases related to evaluating the wisdom or merit of an action

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding the quality of ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.73
    wood
    -0.72
    lighting
    -0.71
    woods
    -0.70
    vin
    -0.66
    ighters
    -0.66
    anches
    -0.65
    cious
    -0.65
    aques
    -0.63
    ancers
    -0.63
    POSITIVE LOGITS
    ually
    0.93
     proposition
    0.68
    ALLY
    0.64
    uristic
    0.64
     outwe
    0.64
     aimed
    0.63
     accelerator
    0.63
     considering
    0.63
    Ĥİ
    0.62
    DEM
    0.61
    Activations Density 0.026%

    No Known Activations