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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. 4168
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    Explanations

    phrases related to receiving and keeping record of transactions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to receipts and financial documentation

    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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    No Comments

    Negative Logits
    udic
    -0.63
     deaf
    -0.60
    agos
    -0.60
    otin
    -0.58
    civil
    -0.57
    vity
    -0.57
    hair
    -0.57
    onson
    -0.56
    ult
    -0.56
    unin
    -0.56
    POSITIVE LOGITS
     receipts
    1.17
     receipt
    1.09
    prise
    0.81
    ãĥ¼ãĥĨãĤ£
    0.77
    oire
    0.76
    prises
    0.74
    lations
    0.72
    inosaur
    0.72
     Lauder
    0.71
    orial
    0.71
    Activations Density 0.013%

    No Known Activations