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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. 3-RES-JB
    11. 6953
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    INDEX
    Explanations

    adjectives conveying intensity or severity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of sternness or intensity in communication or behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BLE
    -0.70
    RESULTS
    -0.68
    xtap
    -0.67
    ULT
    -0.67
    RT
    -0.65
    Ô
    -0.65
    Downloadha
    -0.64
    EAR
    -0.64
    Rush
    -0.64
    Elect
    -0.63
    POSITIVE LOGITS
     stern
    1.17
     reprim
    0.95
     discipl
    0.86
    unci
    0.86
     rebuke
    0.83
    tower
    0.81
    kus
    0.76
    anche
    0.71
    ning
    0.70
    urous
    0.70
    Activations Density 0.012%

    No Known Activations