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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. 4-RES-JB
    11. 9036
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    Explanations

    people's names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Pete" or variations of it

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

    No Comments

    Negative Logits
    lime
    -0.97
    matic
    -0.83
    rises
    -0.79
    spring
    -0.77
    sets
    -0.77
    animous
    -0.75
    nets
    -0.74
    nit
    -0.73
    nah
    -0.72
    sighted
    -0.71
    POSITIVE LOGITS
    chnology
    1.27
    lde
    0.94
    lements
    0.89
    eme
    0.88
    OPLE
    0.86
    pta
    0.85
    llo
    0.84
    ño
    0.84
    udi
    0.84
    legram
    0.83
    Activations Density 0.029%

    No Known Activations