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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

    the name "Oya" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    the presence and repetition of the word "oya"

    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
     copied
    -0.68
     dir
    -0.66
     tracker
    -0.66
     attribute
    -0.66
     tick
    -0.65
     hack
    -0.65
     clip
    -0.63
     asc
    -0.63
     ADS
    -0.61
     bip
    -0.60
    POSITIVE LOGITS
    oya
    4.80
    oy
    1.17
    oba
    1.16
    encia
    1.15
    oka
    1.09
    ilda
    1.08
    asaki
    1.05
    oko
    1.05
    olla
    1.01
    aya
    1.00
    Activations Density 0.005%

    No Known Activations