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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. 0-RES-JB
    11. 23228
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    INDEX
    Explanations

    phrases related to hypothetical situations or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    instances and discussions of various scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.72
    burg
    -0.68
    organic
    -0.64
     Bars
    -0.64
    wer
    -0.62
    roots
    -0.62
    idel
    -0.61
     Arts
    -0.61
     Integrity
    -0.60
    owned
    -0.60
    POSITIVE LOGITS
     scenario
    3.59
     scenarios
    2.83
    enario
    2.09
     situation
    1.68
     hypothetical
    1.59
     circumstance
    1.47
     scen
    1.30
     storyline
    1.26
     situations
    1.24
     timeframe
    1.23
    Activations Density 0.015%

    No Known Activations