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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. 11-RES-JB
    11. 11510
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    Explanations

    numerical counts of people involved in news events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals involved in events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.78
    ãĥĥ
    -0.72
    hib
    -0.61
    HAHAHAHA
    -0.60
    Prev
    -0.60
    SourceFile
    -0.60
    ãĤ¦ãĤ¹
    -0.59
    orders
    -0.59
    ãĤ·
    -0.57
    iculty
    -0.57
    POSITIVE LOGITS
     were
    1.31
     died
    1.18
     remain
    1.10
     are
    1.08
     perished
    1.04
     have
    1.03
    were
    1.00
     boarded
    0.99
     pleaded
    0.97
     survived
    0.93
    Activations Density 0.098%

    No Known Activations