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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5183
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    Explanations

    studies or reports revealing statistical findings or survey results

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating research findings or survey results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.75
    ãĤ§
    -0.65
    via
    -0.64
    ï¸
    -0.63
    ä½ľ
    -0.62
    vard
    -0.61
    ãĤ¶
    -0.61
    argon
    -0.60
    ãĥ¤
    -0.60
    gur
    -0.60
    POSITIVE LOGITS
     Orb
    0.64
     discrepancies
    0.63
     anomalies
    0.62
    evidence
    0.61
    ¿½
    0.61
     irregularities
    0.59
     citing
    0.57
     findings
    0.56
    agi
    0.56
     that
    0.56
    Activations Density 0.220%

    No Known Activations