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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of dates within sentences

    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
    ovo
    -0.74
    zac
    -0.74
    leeve
    -0.71
     besides
    -0.70
    xxx
    -0.70
     whilst
    -0.70
    eno
    -0.68
    bg
    -0.68
    antes
    -0.68
     because
    -0.67
    POSITIVE LOGITS
     largest
    0.98
     biggest
    0.94
    resa
    0.93
     latter
    0.93
     same
    0.92
     aforementioned
    0.89
     United
    0.89
     majority
    0.88
     youngest
    0.88
     oldest
    0.88
    Activations Density 0.298%

    No Known Activations