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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
    11. 19821
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    Explanations

    verbs indicating action or activity

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "taking" in various contexts

    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
    geon
    -0.76
    vae
    -0.74
    idel
    -0.67
    DN
    -0.67
    ibus
    -0.66
    ledged
    -0.65
    anguages
    -0.65
    ulates
    -0.63
    igrated
    -0.63
    ulate
    -0.63
    POSITIVE LOGITS
     taking
    2.93
    taking
    2.29
     Taking
    1.91
    Taking
    1.81
     seizing
    1.66
     giving
    1.49
     picking
    1.48
     bringing
    1.48
     stealing
    1.48
     capturing
    1.47
    Activations Density 0.028%

    No Known Activations