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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. 7647
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    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    numerical or time-based data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     FW
    -0.85
     PF
    -0.79
     Jem
    -0.77
     CES
    -0.74
     RTX
    -0.74
     NF
    -0.73
     Bang
    -0.73
     Cue
    -0.72
     RF
    -0.70
     mixed
    -0.70
    POSITIVE LOGITS
    41
    1.66
    56
    1.64
    58
    1.63
    28
    1.63
    48
    1.62
    46
    1.62
    36
    1.62
    42
    1.62
    54
    1.61
    72
    1.60
    Activations Density 0.116%

    No Known Activations