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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. 9-RES-JB
    11. 6900
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    Explanations

    instances of specific actions or behaviors, regardless of context

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.79
    aura
    -0.68
    hub
    -0.68
    common
    -0.66
    earch
    -0.63
    eps
    -0.62
     womb
    -0.61
     uterus
    -0.60
    amas
    -0.60
    cific
    -0.59
    POSITIVE LOGITS
     himself
    1.30
     Himself
    0.84
     remorse
    0.72
     Vegeta
    0.69
     his
    0.68
     handsome
    0.68
     ejac
    0.67
     Emin
    0.64
     rall
    0.63
     apolog
    0.63
    Activations Density 0.749%

    No Known Activations