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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. 10-RES-JB
    11. 4846
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.75
    lahoma
    -0.69
    inventoryQuantity
    -0.69
     Osc
    -0.68
    bent
    -0.67
    ooks
    -0.65
     Gree
    -0.65
     Alz
    -0.64
    oggles
    -0.63
    ibility
    -0.63
    POSITIVE LOGITS
    ele
    1.32
     service
    0.96
     Satisf
    0.92
     satisfaction
    0.88
    atical
    0.87
    service
    0.87
     customer
    0.84
     cust
    0.84
    coni
    0.82
     Loyal
    0.81
    Activations Density 0.040%

    No Known Activations