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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
    11. 635
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    Explanations

    words related to telling or expressing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to storytelling or narrative elements

    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
    pei
    -0.71
    ANA
    -0.70
    office
    -0.69
    FIX
    -0.68
    Le
    -0.66
    mun
    -0.65
    cise
    -0.64
    MED
    -0.63
    Hen
    -0.61
     SAN
    -0.61
    POSITIVE LOGITS
    ĸļ
    0.89
    GGGGGGGG
    0.87
    uations
    0.81
    owship
    0.80
    axies
    0.76
    enburg
    0.75
    ength
    0.75
    ipel
    0.74
    hetti
    0.74
    enberg
    0.72
    Activations Density 0.008%

    No Known Activations