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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. 19580
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    INDEX
    Explanations

    mentions of specific individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly in a political or social context

    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
    ãĤ¦ãĤ¹
    -0.80
    izons
    -0.75
    ?????-
    -0.68
    oubt
    -0.67
    izes
    -0.66
    itiz
    -0.65
    Appearance
    -0.64
    ãĤ¦
    -0.63
    omatic
    -0.63
    =-=-=-=-=-=-=-=-
    -0.63
    POSITIVE LOGITS
     interacting
    1.48
     behaving
    1.42
     smiling
    1.35
     enjoying
    1.31
     reacting
    1.31
     sneaking
    1.29
     hugging
    1.28
     waving
    1.26
     staring
    1.24
     talking
    1.24
    Activations Density 1.069%

    No Known Activations