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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. 6-RES-JB
    11. 17191
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    INDEX
    Explanations

    mentions of natural phenomena related to thunderstorms

    oai_token-act-pair · gpt-3.5-turbo

    references to lightning and its related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.91
    ublic
    -0.85
    sburgh
    -0.82
    udo
    -0.82
    yrinth
    -0.82
    76561
    -0.80
    ablishment
    -0.79
    ophon
    -0.78
    utsche
    -0.76
    gres
    -0.76
    POSITIVE LOGITS
     bolt
    1.20
    bolt
    1.19
     bolts
    1.06
    storms
    0.99
     strike
    0.91
    storm
    0.91
     Strikes
    0.89
     Bolt
    0.88
     strikes
    0.87
     rod
    0.87
    Activations Density 0.020%

    No Known Activations