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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. 11-RES-JB
    11. 6338
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    Explanations

    mentions of the specific term "Daily" with varying activations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obal
    -0.78
    imately
    -0.73
    NetMessage
    -0.68
    dropping
    -0.67
     sqor
    -0.66
    lessly
    -0.65
    erie
    -0.65
    holes
    -0.65
     fitting
    -0.64
    mble
    -0.64
    POSITIVE LOGITS
     Beast
    1.24
     Mail
    1.22
     Caller
    1.21
    Mail
    1.16
     Telegraph
    1.12
    motion
    1.11
    mail
    1.01
     Mirror
    0.99
    Beast
    0.97
     Dot
    0.97
    Activations Density 0.023%

    No Known Activations