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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. 20117
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    Explanations

    words related to prevention or intervention

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to prevention or intervention

    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
    arov
    -0.80
    Sov
    -0.79
    ocene
    -0.74
    orthy
    -0.74
    æĪ¦
    -0.73
    acus
    -0.72
    ammy
    -0.72
    ographies
    -0.72
    appa
    -0.71
    ighth
    -0.70
    POSITIVE LOGITS
    gap
    1.06
     bleeding
    0.94
     bothering
    0.92
     raining
    0.83
     smoking
    0.82
     cheating
    0.79
    angering
    0.78
     worrying
    0.77
     whining
    0.77
     wasting
    0.75
    Activations Density 0.037%

    No Known Activations