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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 13902
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    Explanations

    phrases related to setting aside differences or prejudices

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to putting aside differences or prejudices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wei
    -0.67
    cat
    -0.64
    ept
    -0.63
    eworld
    -0.62
    gging
    -0.60
    gio
    -0.60
    enez
    -0.59
    jah
    -0.59
    rounder
    -0.58
    KER
    -0.57
    POSITIVE LOGITS
    heid
    0.91
     Unch
    0.85
     entirely
    0.72
     altogether
    0.69
     aside
    0.68
    urities
    0.65
    ilts
    0.63
    thal
    0.62
     blank
    0.59
    urbed
    0.59
    Activations Density 0.045%

    No Known Activations