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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. 7-RES-JB
    11. 6380
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    Explanations

    phrases related to social or political issues

    oai_token-act-pair · gpt-3.5-turbo

    references to various societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urses
    -0.82
    sis
    -0.77
    ittle
    -0.75
    ãĥ³ãĤ¸
    -0.75
    emouth
    -0.75
    uner
    -0.73
    bones
    -0.72
    ramid
    -0.72
    rams
    -0.71
    ellow
    -0.71
    POSITIVE LOGITS
     confronting
    0.88
     plag
    0.87
     flared
    0.85
     facing
    0.82
     raised
    0.80
     affecting
    0.80
     arising
    0.76
     impacting
    0.75
     debated
    0.74
    naires
    0.72
    Activations Density 0.052%

    No Known Activations