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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. 11225
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    INDEX
    Explanations

    references to speeding or fast movement

    oai_token-act-pair · gpt-3.5-turbo

    references to speeding or excessive speed

    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
    oral
    -0.76
    sym
    -0.76
    rists
    -0.74
    ydia
    -0.74
    ternity
    -0.71
    pty
    -0.71
    uyomi
    -0.71
    rica
    -0.70
    ibaba
    -0.70
    roma
    -0.70
    POSITIVE LOGITS
     speeding
    1.17
     speeds
    0.88
     sped
    0.84
     speed
    0.80
     acceler
    0.77
    EED
    0.74
     cruising
    0.73
     slows
    0.73
     ticket
    0.71
     tickets
    0.71
    Activations Density 0.010%

    No Known Activations