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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. 6-RES-JB
    11. 24405
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    Explanations

    pronouns followed by simplified conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals (he, they, she) and related actions or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quartered
    -0.69
    ©¶æ¥µ
    -0.63
    ãģ®ç
    -0.62
     Synd
    -0.61
    folios
    -0.59
     ILCS
    -0.58
     Berman
    -0.58
     Casting
    -0.58
    lighting
    -0.57
    Ts
    -0.56
    POSITIVE LOGITS
    're
    0.94
     weren
    0.86
     succeed
    0.81
     were
    0.77
     fails
    0.77
     succeeds
    0.76
     survives
    0.74
     hadn
    0.72
     ain
    0.71
    'd
    0.71
    Activations Density 0.136%

    No Known Activations