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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. 9-RES-JB
    11. 7387
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    INDEX
    Explanations

    sentences containing measurements or technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    the presence of punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     foolish
    -0.89
     slowing
    -0.81
     questioning
    -0.80
     swat
    -0.76
     rallying
    -0.75
     painfully
    -0.75
     tricked
    -0.74
     sooner
    -0.74
     stubborn
    -0.74
     tame
    -0.73
    POSITIVE LOGITS
     Lastly
    1.71
     Finally
    1.46
     Additionally
    1.35
    <|endoftext|>
    1.22
     Overall
    1.20
     Specifications
    1.16
     Additional
    1.16
     Each
    1.15
    Lastly
    1.14
     Throughout
    1.13
    Activations Density 0.302%

    No Known Activations