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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. 11-RES-JB
    11. 3646
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    INDEX
    Explanations

    pronouns referring to specific groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups affected by social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.77
    tick
    -0.74
    tainment
    -0.71
    kamp
    -0.68
    illus
    -0.68
    iggurat
    -0.67
    ibal
    -0.66
    escription
    -0.66
    onis
    -0.66
    imation
    -0.66
    POSITIVE LOGITS
     who
    1.30
     wishing
    1.15
     whose
    1.05
     whom
    1.05
    who
    1.00
     seeking
    0.97
     tasked
    0.97
     responsible
    0.94
     pesky
    0.92
     individuals
    0.91
    Activations Density 0.069%

    No Known Activations