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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. 7-RES-JB
    11. 2732
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    Explanations

    names or entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     downtime
    -0.68
     PlayStation
    -0.67
     NIC
    -0.66
     Playstation
    -0.66
     Warehouse
    -0.65
     NAT
    -0.65
     GST
    -0.64
     Tup
    -0.64
     Vinyl
    -0.63
     invent
    -0.62
    POSITIVE LOGITS
    acci
    1.07
    enegger
    0.92
    anyahu
    0.92
    ison
    0.90
    arkin
    0.89
    uga
    0.89
    inson
    0.88
    irez
    0.86
    olini
    0.84
    enson
    0.84
    Activations Density 0.239%

    No Known Activations