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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. 13803
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    INDEX
    Explanations

    phrases related to opinions or perspectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing perceptions of situations or actions

    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
    ridge
    -0.80
    ogen
    -0.72
    rer
    -0.72
    acter
    -0.67
    lang
    -0.67
    ouses
    -0.66
    airo
    -0.65
    ãĢı
    -0.64
    ÃĥÃĤÃĥÃĤ
    -0.64
    ogram
    -0.64
    POSITIVE LOGITS
     insur
    0.92
     an
    0.78
     unintentional
    0.74
     accidental
    0.74
     a
    0.72
     erroneous
    0.71
     concerted
    0.71
     blatant
    0.70
     unfair
    0.70
     perverse
    0.69
    Activations Density 0.103%

    No Known Activations