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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. 2-RES-JB
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    Explanations

    the word "end" at the end of phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to endings or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppo
    -0.90
    æ©Ł
    -0.68
    CHA
    -0.68
    chy
    -0.65
    issance
    -0.63
    kaya
    -0.62
    ched
    -0.62
    «ĺ
    -0.62
    KING
    -0.62
    tyard
    -0.61
    POSITIVE LOGITS
    end
    1.07
    angered
    0.99
    lich
    0.96
    ocrin
    0.90
    owment
    0.88
    orph
    0.88
    ends
    0.87
    angering
    0.85
    ending
    0.85
    ended
    0.81
    Activations Density 0.020%

    No Known Activations