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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. 9668
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    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
     bum
    -0.68
    quickShipAvailable
    -0.67
    ighed
    -0.65
     heaviest
    -0.64
    ĪĴ
    -0.63
     muted
    -0.60
    eger
    -0.59
    inventoryQuantity
    -0.59
     setbacks
    -0.58
     Latest
    -0.57
    POSITIVE LOGITS
    enstein
    0.77
     anew
    0.77
    onto
    0.69
     WITHOUT
    0.69
     ourselves
    0.67
    DragonMagazine
    0.66
     believable
    0.65
     yourself
    0.65
     suitable
    0.65
     clones
    0.62
    Activations Density 0.813%

    No Known Activations