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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. 3-RES-JB
    11. 23407
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    INDEX
    Explanations

    phrases indicating a negative outcome or situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Unfortunately"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.80
    agra
    -0.79
    icle
    -0.76
    icles
    -0.75
    appro
    -0.74
    alty
    -0.73
    76561
    -0.72
    ped
    -0.71
     kindred
    -0.71
    rouse
    -0.70
    POSITIVE LOGITS
     Delicious
    0.78
     Err
    0.72
    imaru
    0.72
     adolesc
    0.71
     Ukrain
    0.70
    Unfortunately
    0.70
     Sadly
    0.70
    ESA
    0.68
     mosqu
    0.67
     regrett
    0.67
    Activations Density 0.010%

    No Known Activations