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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. 11492
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    Explanations

    terms related to text citations and references

    oai_token-act-pair · gpt-3.5-turbo

    references to academic publications and citations

    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
     trave
    -0.65
     perspect
    -0.65
     unloaded
    -0.65
     imperson
    -0.62
     neighb
    -0.59
     Clicker
    -0.59
     unden
    -0.58
     awoke
    -0.57
     settled
    -0.57
    anooga
    -0.57
    POSITIVE LOGITS
     159
    1.21
     133
    1.20
     131
    1.20
     213
    1.19
     143
    1.19
     223
    1.19
     139
    1.19
     171
    1.18
     412
    1.17
     161
    1.17
    Activations Density 0.062%

    No Known Activations