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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. 1-RES-JB
    11. 18643
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    Explanations

    installments or sequels in a series

    oai_token-act-pair · gpt-3.5-turbo

    references to sequels or installments in series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itudes
    -0.77
    bara
    -0.74
    eric
    -0.71
    idi
    -0.70
    headed
    -0.70
    =-=-=-=-=-=-=-=-
    -0.69
    yer
    -0.69
    */(
    -0.69
    mouth
    -0.68
    imb
    -0.67
    POSITIVE LOGITS
     installment
    1.34
     installments
    1.12
    ĸļ
    0.72
    ãĤ´
    0.71
    è»
    0.68
    ptives
    0.68
     Tactics
    0.68
     adaptation
    0.66
     XII
    0.66
    CRIP
    0.65
    Activations Density 0.004%

    No Known Activations