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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. 19665
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    Explanations

    numeric values or codes within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to significant differences or comparisons between entities

    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
     Tsarnaev
    -0.58
     Mulcair
    -0.57
     Kislyak
    -0.57
     Journalism
    -0.56
     journalistic
    -0.56
     Hearthstone
    -0.55
     Mozilla
    -0.54
     Americans
    -0.54
     Pulitzer
    -0.53
     journalism
    -0.52
    POSITIVE LOGITS
    sequently
    0.73
    renheit
    0.65
    rox
    0.65
    Ń·
    0.64
    ãĥİ
    0.64
    Unknown
    0.63
     teasp
    0.63
    ©¶æ¥µ
    0.62
     exting
    0.62
    ploma
    0.62
    Activations Density 1.933%

    No Known Activations