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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. 10-RES-JB
    11. 6477
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    INDEX
    Explanations

    instances where something has been seen before or comparisons to prior experiences

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing the concept of experiencing or witnessing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.68
    nels
    -0.67
    apters
    -0.64
    nel
    -0.61
    Newsletter
    -0.57
    emies
    -0.57
     reluctantly
    -0.56
    adium
    -0.55
    heter
    -0.55
     nonetheless
    -0.55
    POSITIVE LOGITS
     anything
    1.17
     anybody
    0.97
    anything
    0.96
     anyone
    0.90
     ANY
    0.82
     Anything
    0.76
     such
    0.75
     him
    0.75
     nor
    0.75
     any
    0.71
    Activations Density 0.088%

    No Known Activations