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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. 10-RES-JB
    11. 13812
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    INDEX
    Explanations

    phrases related to explanations or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    phrases that clarify reasons or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emies
    -0.82
    ille
    -0.78
    heit
    -0.73
    ontent
    -0.72
    jab
    -0.72
    nets
    -0.72
    ctors
    -0.69
    ngth
    -0.68
    ionics
    -0.68
    estial
    -0.67
    POSITIVE LOGITS
     why
    1.70
    why
    1.31
     WHY
    1.21
     discrepancies
    0.98
     how
    0.96
     Why
    0.91
     inconsistencies
    0.89
    Why
    0.85
     reluctance
    0.84
     variance
    0.82
    Activations Density 0.114%

    No Known Activations