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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. 7534
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    Explanations

    phrases related to personal experiences and interactions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and phrases indicating personal relationships and interactions

    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
    ATIVE
    -0.70
    Thumbnail
    -0.70
    ãĥ¯
    -0.70
    vertisement
    -0.69
    ably
    -0.66
    arnaev
    -0.63
    ital
    -0.63
    icle
    -0.63
    entary
    -0.62
    lete
    -0.61
    POSITIVE LOGITS
     wanted
    0.98
     wanna
    0.98
     smelled
    0.93
     wished
    0.90
    'd
    0.89
     overheard
    0.88
     loved
    0.87
     sorry
    0.86
     loves
    0.85
     didnt
    0.85
    Activations Density 0.212%

    No Known Activations