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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. 2993
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    INDEX
    Explanations

    common expressions indicating quantity or abundance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a large quantity or numerous examples of something

    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
    inth
    -0.81
    ager
    -0.76
    NS
    -0.73
    operation
    -0.73
    assis
    -0.73
    avier
    -0.72
    obook
    -0.72
    dict
    -0.71
    heed
    -0.71
    regn
    -0.70
    POSITIVE LOGITS
     examples
    1.38
     ways
    1.30
     opportunities
    1.20
     reasons
    1.20
     variations
    1.16
     possibilities
    1.11
     occasions
    1.10
     unanswered
    1.10
     excuses
    1.09
     instances
    1.09
    Activations Density 0.212%

    No Known Activations