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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. 0-RES-JB
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    Explanations

    terms related to recreational activities and facilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to recreation and its various forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ig
    -0.76
     DSM
    -0.75
    oths
    -0.75
    immune
    -0.72
    ophe
    -0.72
     Lean
    -0.71
     aster
    -0.70
    umen
    -0.69
    sg
    -0.69
    emic
    -0.69
    POSITIVE LOGITS
     recreation
    2.94
     rendition
    2.60
     recre
    2.18
     reproduction
    1.84
     Recreation
    1.76
     replica
    1.56
     recreate
    1.56
     likeness
    1.39
     reconstruction
    1.27
     Recre
    1.22
    Activations Density 0.025%

    No Known Activations