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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. 2-RES-JB
    11. 23223
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    Explanations

    phrases related to attracting people or things, particularly for investment or development purposes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "attract" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hal
    -0.74
    phrine
    -0.69
    utral
    -0.68
    orah
    -0.65
    eden
    -0.63
    chen
    -0.61
     hol
    -0.58
    fs
    -0.58
    chens
    -0.58
    cknowled
    -0.58
    POSITIVE LOGITS
     attracts
    0.98
     attract
    0.96
     attractions
    0.81
    entious
    0.80
     attracted
    0.74
    GGGGGGGG
    0.72
     attracting
    0.71
     attraction
    0.71
    ively
    0.70
    ĸļ
    0.70
    Activations Density 0.013%

    No Known Activations