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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. 23399
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    Explanations

    second person pronouns followed by modals or verbs, potentially in the context of instructions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    phrases addressing the reader directly

    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
    ¿½
    -0.77
     Palest
    -0.61
    OTOS
    -0.61
    atory
    -0.60
    advertisement
    -0.59
     Cutter
    -0.59
    rawdownloadcloneembedreportprint
    -0.57
    ATIVE
    -0.56
     Kend
    -0.55
     Emma
    -0.54
    POSITIVE LOGITS
    're
    1.54
    'll
    1.44
    've
    1.32
     owe
    1.15
     MUST
    1.11
     might
    1.08
    'd
    1.06
     probably
    1.05
     SHOULD
    1.01
     may
    1.01
    Activations Density 0.132%

    No Known Activations