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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. 6-RES-JB
    11. 24333
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    Explanations

    names with the suffix "-well"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "well."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illary
    -0.79
    assic
    -0.69
    anu
    -0.68
    hett
    -0.67
    IRO
    -0.67
    emonic
    -0.65
    liest
    -0.65
    illac
    -0.64
    adena
    -0.61
    ón
    -0.60
    POSITIVE LOGITS
    esley
    1.23
    ington
    0.92
    sburg
    0.91
    ards
    0.90
    s
    0.89
    spring
    0.85
    espie
    0.82
    bye
    0.78
    ness
    0.78
    sie
    0.78
    Activations Density 0.017%

    No Known Activations