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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. 19674
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    INDEX
    Explanations

    mentions of specific objects or entities followed by a significant action or event

    oai_token-act-pair · gpt-3.5-turbo

    the presence of sentence-ending punctuation marks

    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
    esters
    -0.69
     antit
    -0.68
     detract
    -0.67
     immersion
    -0.66
     docking
    -0.65
     wagon
    -0.63
    anian
    -0.62
     phenomen
    -0.62
     denying
    -0.61
    rue
    -0.61
    POSITIVE LOGITS
     Firstly
    1.24
     Below
    1.24
     Each
    1.23
     Hopefully
    1.23
     Specifically
    1.18
     WARNING
    1.15
     Enjoy
    1.14
     Note
    1.11
     Notice
    1.09
     Obviously
    1.08
    Activations Density 0.222%

    No Known Activations