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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
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    INDEX
    Explanations

    phrases related to benefiting or gaining advantage

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "benefit" 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
    Plot
    -0.66
    ²¾
    -0.65
    rez
    -0.65
     cracked
    -0.65
    taboola
    -0.64
    ãĥ£
    -0.64
    opic
    -0.63
     polarized
    -0.63
    sil
    -0.60
     fluorescent
    -0.59
    POSITIVE LOGITS
     benefit
    1.23
    benefit
    1.22
    Benef
    0.98
     benefits
    0.97
     benefiting
    0.87
     Benefit
    0.85
     benefited
    0.82
    onies
    0.80
     reap
    0.80
     Benefits
    0.79
    Activations Density 0.014%

    No Known Activations