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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. 6-RES-JB
    11. 396
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    INDEX
    Explanations

    adjectives expressing intensity or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating critical evaluation or assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overwhel
    -0.62
    çīĪ
    -0.60
     justifies
    -0.57
     Seym
    -0.55
    cuts
    -0.54
    doms
    -0.53
     outweigh
    -0.52
     shocks
    -0.51
    ults
    -0.51
     blows
    -0.51
    POSITIVE LOGITS
    olin
    0.58
    currently
    0.58
     proud
    0.53
    inently
    0.52
     fascinating
    0.52
    omorphic
    0.49
    going
    0.48
    recated
    0.48
    ometric
    0.48
     currently
    0.48
    Activations Density 0.725%

    No Known Activations