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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. 22135
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    Explanations

    words related to large quantities or collections

    oai_token-act-pair · gpt-3.5-turbo

    references to bulk quantities or bulk purchasing

    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
     Elise
    -0.63
     Judges
    -0.60
     Liberation
    -0.60
     Nou
    -0.59
    pires
    -0.58
    ournal
    -0.56
     remem
    -0.56
    perty
    -0.55
     Strateg
    -0.55
     Commissioners
    -0.55
    POSITIVE LOGITS
    heads
    1.02
    ier
    1.00
    iest
    0.87
    head
    0.86
    iness
    0.83
     purchases
    0.83
    imated
    0.82
    iers
    0.81
     quantities
    0.80
    ocking
    0.79
    Activations Density 0.054%

    No Known Activations