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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. 8581
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    Explanations

    references to new parts or sequels in a series or franchise

    oai_token-act-pair · gpt-3.5-turbo

    references to "installments" in a series or sequel context

    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
    yer
    -0.88
    eric
    -0.78
    gans
    -0.76
    eating
    -0.73
    bara
    -0.73
    inators
    -0.71
    esting
    -0.70
    icial
    -0.69
    enf
    -0.67
    verbs
    -0.67
    POSITIVE LOGITS
     installment
    1.12
     installments
    0.93
    ĸļ
    0.82
    iatus
    0.77
     finale
    0.75
     VII
    0.73
    itial
    0.73
     VIII
    0.69
    teenth
    0.68
     iteration
    0.67
    Activations Density 0.010%

    No Known Activations