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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. 12695
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    Explanations

    actions or events that involve change or impact

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating negative impacts or events

    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
    usercontent
    -0.66
    soDeliveryDate
    -0.63
     TOD
    -0.62
     belie
    -0.59
    76561
    -0.59
    Publisher
    -0.57
    tif
    -0.57
    #$#$
    -0.57
    EStreamFrame
    -0.57
    ([
    -0.57
    POSITIVE LOGITS
     its
    1.26
     another
    0.98
     Its
    0.88
    Its
    0.86
     unprecedented
    0.85
     itself
    0.84
     a
    0.82
     an
    0.81
     ITS
    0.79
     sweeping
    0.72
    Activations Density 0.373%

    No Known Activations