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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. 0-RES-JB
    11. 13258
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    Explanations

    phrases related to competetive opportunities or challenges

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "grabs"

    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
    ufficient
    -0.68
    quartered
    -0.64
    ricular
    -0.62
     consulted
    -0.60
     falsely
    -0.59
    hemat
    -0.57
    hap
    -0.57
     apart
    -0.57
    olate
    -0.57
    ghan
    -0.56
    POSITIVE LOGITS
     grabs
    3.83
     grab
    1.54
     catches
    1.50
    grab
    1.40
     grabbing
    1.36
     captures
    1.31
     pulls
    1.25
     flips
    1.22
     jumps
    1.19
     throws
    1.18
    Activations Density 0.008%

    No Known Activations