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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. 3-RES-JB
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    Explanations

    the word "rush" with varying degrees of intensity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rush."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elong
    -0.88
    oral
    -0.79
    ĻĤ
    -0.77
    nect
    -0.76
    restrial
    -0.73
    ateur
    -0.71
    istrate
    -0.69
    ancial
    -0.69
    atem
    -0.68
    ortium
    -0.68
    POSITIVE LOGITS
     rush
    0.91
    iness
    0.77
     hour
    0.76
     Limbaugh
    0.75
    WAY
    0.71
     rushing
    0.71
     rushes
    0.68
     surge
    0.67
    Jet
    0.66
     reaction
    0.65
    Activations Density 0.008%

    No Known Activations