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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. 19512
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    INDEX
    Explanations

    mentions of specific topics or subjects followed by some description or commentary

    oai_token-act-pair · gpt-3.5-turbo

    references to discussions about media and societal issues

    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
    etheless
    -0.62
     Flavoring
    -0.56
    reflect
    -0.52
    anni
    -0.51
    trump
    -0.51
    é¾įåĸļ士
    -0.51
    Assad
    -0.51
    ullivan
    -0.50
    ħĭ
    -0.49
    é¾
    -0.49
    POSITIVE LOGITS
     google
    0.53
    Interstitial
    0.46
     stat
    0.46
     boolean
    0.45
     %%
    0.44
     facebook
    0.43
     info
    0.42
     TRUE
    0.41
     inline
    0.41
     english
    0.41
    Activations Density 2.826%

    No Known Activations