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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. 4236
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    Explanations

    sequential events or actions that repeat over time

    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
    ãĥ¤
    -0.76
    anth
    -0.72
    quickShipAvailable
    -0.72
    rh
    -0.71
    nos
    -0.69
    iov
    -0.68
    onom
    -0.68
    rets
    -0.66
    nor
    -0.66
    jon
    -0.65
    POSITIVE LOGITS
     until
    0.77
     plead
    0.72
     bombard
    0.72
     reinforcing
    0.70
     alike
    0.70
     accumulate
    0.67
     thereafter
    0.66
     begging
    0.66
     addict
    0.66
    Downloadha
    0.65
    Activations Density 0.060%

    No Known Activations