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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. 6887
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    websites and online platforms, particularly those related to sharing and social interaction

    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
    arching
    -0.77
    enary
    -0.75
     Alz
    -0.71
    heny
    -0.71
    enza
    -0.69
    herty
    -0.68
    ++++++++++++++++
    -0.66
     negotiators
    -0.65
    psey
    -0.65
     stroke
    -0.65
    POSITIVE LOGITS
    Reddit
    1.11
     Reddit
    1.10
    reddits
    1.09
    osphere
    1.02
     Craigslist
    1.01
     Sina
    0.98
    iannopoulos
    0.94
    reddit
    0.93
     Gawker
    0.91
     Tumblr
    0.90
    Activations Density 0.309%

    No Known Activations