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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. 1-RES-JB
    11. 2365
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    Explanations

    phrases related to having a strong grasp or control over something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hold" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acha
    -0.62
    inators
    -0.60
     solitary
    -0.59
     bombings
    -0.58
     bullet
    -0.57
     bombing
    -0.56
    oder
    -0.55
     extortion
    -0.55
     guerrilla
    -0.54
     opener
    -0.54
    POSITIVE LOGITS
    hold
    1.70
    held
    0.97
    holding
    0.96
    scl
    0.95
    holders
    0.94
    holder
    0.90
    rats
    0.87
    ings
    0.86
    warming
    0.81
    sworth
    0.79
    Activations Density 0.008%

    No Known Activations