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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. 6-RES-JB
    6. 6129
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    Explanations

    references to specific educational institutions, particularly the University of California and the University of Texas at Austin

    oai_token-act-pair · gpt-3.5-turbo

    references to academic institutions, particularly universities

    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
    tons
    -0.74
     clutch
    -0.65
     trough
    -0.62
    flame
    -0.62
     courtesy
    -0.59
    elist
    -0.59
    draw
    -0.59
     blu
    -0.59
    orget
    -0.58
     episodes
    -0.58
    POSITIVE LOGITS
    ña
    0.84
    sylvania
    0.67
    igham
    0.66
    IVERS
    0.65
    braska
    0.64
    arijuana
    0.63
    ACA
    0.63
    abulary
    0.62
    ħ
    0.62
    ãĤ¼ãĤ¦ãĤ¹
    0.62
    Activations Density 0.105%

    No Known Activations