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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. 9-RES-JB
    11. 17193
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    Explanations

    specific named entities or proper nouns related to news topics or events

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beforehand
    -0.75
    soever
    -0.65
     whence
    -0.64
    [_
    -0.62
    Newsletter
    -0.61
    sburg
    -0.60
    fulness
    -0.60
     viz
    -0.59
     refrain
    -0.58
    isms
    -0.58
    POSITIVE LOGITS
     poised
    1.08
     suing
    1.07
    senal
    0.97
     hereby
    0.95
     proud
    0.93
     pleased
    0.92
     reportedly
    0.92
     finally
    0.92
     gearing
    0.92
     nearing
    0.91
    Activations Density 0.276%

    No Known Activations