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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. 8083
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    INDEX
    Explanations

    superlatives and comparative adjectives related to popularity or success

    oai_token-act-pair · gpt-3.5-turbo

    superlative adjectives describing quality or status

    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
     quick
    -0.70
     similar
    -0.69
     solid
    -0.60
     multiple
    -0.59
    anan
    -0.57
     retro
    -0.55
     certain
    -0.55
     separate
    -0.53
     popup
    -0.53
    oros
    -0.53
    POSITIVE LOGITS
     brightest
    2.37
     hottest
    2.21
     finest
    2.21
     busiest
    2.18
     darkest
    2.17
     heaviest
    2.16
     toughest
    2.16
     smallest
    2.07
     deadliest
    2.06
     deepest
    2.05
    Activations Density 0.018%

    No Known Activations