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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. 8442
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    Explanations

    words and phrases related to large sums of money expressed using numerical values

    oai_token-act-pair · gpt-3.5-turbo
    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
    mination
    -0.72
    ador
    -0.67
     encount
    -0.66
     mosqu
    -0.65
    */(
    -0.61
     descendant
    -0.59
    Introduced
    -0.59
     happ
    -0.58
    laws
    -0.58
    idia
    -0.58
    POSITIVE LOGITS
     $
    1.58
     âĤ¬
    1.42
    $
    1.39
     £
    1.37
     Rs
    1.28
     ¥
    1.25
     USD
    1.19
    £
    1.08
    -$
    1.05
     "$
    1.04
    Activations Density 0.109%

    No Known Activations