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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
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    Explanations

    names (particularly the name "Matthew")

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Matthew."

    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
     beans
    -0.66
     absor
    -0.66
     mushroom
    -0.66
    .""
    -0.65
     bulb
    -0.65
     cort
    -0.64
     resort
    -0.64
    sil
    -0.63
    kaya
    -0.63
    Ur
    -0.63
    POSITIVE LOGITS
     Matthew
    3.37
    Matthew
    2.86
    Matt
    1.70
     Matt
    1.67
     Luke
    1.64
     Isaiah
    1.53
    Luke
    1.51
     Matthews
    1.49
     Jeremiah
    1.48
     Ezekiel
    1.47
    Activations Density 0.020%

    No Known Activations