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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. 13679
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    INDEX
    Explanations

    instances of the word "wrong" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    the concept of being wrong or mistakes

    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
    enance
    -0.72
     Swim
    -0.65
     Ri
    -0.65
     Flavoring
    -0.63
    hens
    -0.61
    ILA
    -0.60
     Pione
    -0.60
     Fn
    -0.59
     composed
    -0.59
    zinski
    -0.59
    POSITIVE LOGITS
    headed
    1.19
    fully
    1.16
    do
    0.92
    eous
    0.90
    ed
    0.86
    doing
    0.85
    behavior
    0.83
    sters
    0.83
     assumptions
    0.80
    sight
    0.78
    Activations Density 0.033%

    No Known Activations