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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. 23800
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    Explanations

    alumni or people associated with specific organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to alumni and individuals associated with educational institutions

    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
     bye
    -0.60
     scissors
    -0.60
     Norn
    -0.58
     thence
    -0.58
     misunder
    -0.58
     palms
    -0.57
     DRAG
    -0.57
     blur
    -0.57
     liquids
    -0.57
     rink
    -0.57
    POSITIVE LOGITS
    ions
    1.58
    ation
    1.54
    hip
    1.52
    ial
    1.49
    iated
    1.47
    ially
    1.45
    ional
    1.45
    ic
    1.43
    ual
    1.42
    ion
    1.41
    Activations Density 0.957%

    No Known Activations