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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. 7-RES-JB
    11. 6508
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    INDEX
    Explanations

    personal pronouns and possessive adjectives

    oai_token-act-pair · gpt-3.5-turbo

    references to specific subjects and their qualities or impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    course
    -0.73
     Canal
    -0.65
     Trent
    -0.65
    gray
    -0.63
     Kern
    -0.62
    erno
    -0.60
    reements
    -0.59
     Verse
    -0.58
     Lal
    -0.58
     Gerry
    -0.57
    POSITIVE LOGITS
     debuted
    0.85
     outper
    0.79
     undergo
    0.76
     maker
    0.75
     makers
    0.74
     wre
    0.74
     marketed
    0.72
     embody
    0.72
     excel
    0.72
     embod
    0.71
    Activations Density 0.685%

    No Known Activations