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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. 7776
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    INDEX
    Explanations

    superlatives or extreme situations

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of difficulty or challenges

    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
    ifa
    -0.61
     exists
    -0.60
    VPN
    -0.57
    port
    -0.56
    pool
    -0.55
     Spect
    -0.53
    Spect
    -0.52
    ÙIJ
    -0.52
     Publications
    -0.51
    ius
    -0.51
    POSITIVE LOGITS
     hardest
    3.80
     toughest
    2.18
     heaviest
    1.98
     easiest
    1.81
     harder
    1.73
     weakest
    1.61
     quickest
    1.57
     fastest
    1.54
     strongest
    1.47
     worst
    1.45
    Activations Density 0.011%

    No Known Activations