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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16154
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    INDEX
    Explanations

    phrases indicating reaching a goal or destination

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "reach."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lot
    -0.75
    ston
    -0.74
     Lot
    -0.73
    */(
    -0.70
    rix
    -0.69
    llo
    -0.61
    CD
    -0.60
    owicz
    -0.59
    ression
    -0.57
    inary
    -0.56
    POSITIVE LOGITS
     reach
    3.63
    reach
    2.05
     Reach
    2.01
     reaches
    1.97
     reached
    1.89
     reaching
    1.88
     attain
    1.50
     grasp
    1.43
     achieve
    1.21
     exceed
    1.19
    Activations Density 0.013%

    No Known Activations