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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. 3-RES-JB
    11. 24289
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    INDEX
    Explanations

    contractions of "will not" specifically

    oai_token-act-pair · gpt-3.5-turbo

    negative contractions related to what cannot be done or achieved

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anni
    -0.84
    Pure
    -0.72
    asketball
    -0.67
    gio
    -0.66
    eah
    -0.63
    uyomi
    -0.63
    athom
    -0.63
    aan
    -0.63
    organic
    -0.62
    phia
    -0.61
    POSITIVE LOGITS
    forth
    0.75
    ters
    0.69
     regress
    0.66
     rever
    0.66
     slack
    0.65
    terness
    0.65
     Braun
    0.65
     payoff
    0.64
     Rodrig
    0.63
    ardless
    0.63
    Activations Density 0.101%

    No Known Activations