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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. 1640
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    Explanations

    names or terms with "mer" or "ter" appearing in them

    oai_token-act-pair · gpt-3.5-turbo

    suffixes related to different professions or roles

    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
     Topic
    -0.64
    ammy
    -0.62
     EDITION
    -0.59
    BOOK
    -0.59
     recorder
    -0.56
    lishes
    -0.56
     depress
    -0.55
    raltar
    -0.55
     Flags
    -0.54
    isers
    -0.53
    POSITIVE LOGITS
    nah
    0.93
    hol
    0.90
    gio
    0.90
    gaard
    0.89
    chuk
    0.88
    heimer
    0.87
    nan
    0.86
    hoff
    0.82
    wald
    0.82
    gi
    0.82
    Activations Density 0.158%

    No Known Activations