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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 3767
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    INDEX
    Explanations

    phrases related to decision-making and potential action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" and phrases associated with indefinite quantities or generalizations

    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
    coins
    -0.86
    eyes
    -0.78
    ographs
    -0.71
    Contents
    -0.70
    \'
    -0.68
    marks
    -0.68
    words
    -0.68
    items
    -0.67
    iments
    -0.67
     highlights
    -0.66
    POSITIVE LOGITS
     plethora
    1.11
     gradual
    1.04
     comprehensive
    1.01
     unified
    1.00
     slew
    0.98
     multitude
    0.97
     lot
    0.96
     concerted
    0.95
    usterity
    0.94
     revival
    0.93
    Activations Density 0.394%

    No Known Activations