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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. 1512
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    Explanations

    phrases related to exchanges or trades

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to exchanges and returns

    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
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    Negative Logits
    mare
    -0.74
    illin
    -0.72
    ider
    -0.70
    rament
    -0.70
    utters
    -0.69
     vet
    -0.67
    tis
    -0.66
    apego
    -0.64
    redit
    -0.64
    stall
    -0.64
    POSITIVE LOGITS
     guise
    0.84
     bargain
    0.75
    ertodd
    0.68
     obe
    0.68
     coer
    0.67
    èĢħ
    0.65
    ãĤ°
    0.63
     negotiations
    0.63
    ridor
    0.60
     vain
    0.60
    Activations Density 0.036%

    No Known Activations