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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. 5908
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    INDEX
    Explanations

    instances of the word "got" followed by a higher activation value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "got" and its variations used in various contexts

    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
    worthiness
    -0.77
    margin
    -0.66
     correctness
    -0.63
     Implementation
    -0.63
    NESS
    -0.62
     derives
    -0.62
     margin
    -0.61
     Archdemon
    -0.61
    incerity
    -0.58
     fallacy
    -0.58
    POSITIVE LOGITS
     rid
    1.19
     drunk
    1.09
     stuck
    1.09
     married
    1.07
     bored
    1.03
     bitten
    1.02
     acquainted
    1.01
     sucked
    1.00
     raped
    0.98
     distracted
    0.98
    Activations Density 0.124%

    No Known Activations