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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
    11. 13660
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    Explanations

    terms related to camping activities

    oai_token-act-pair · gpt-3.5-turbo

    references to camping activities and related themes

    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
     Transcript
    -0.79
     Firm
    -0.74
    mir
    -0.73
    alyst
    -0.65
    luence
    -0.65
    Translation
    -0.65
     Illust
    -0.64
    hematic
    -0.64
     Princ
    -0.63
    rix
    -0.63
    POSITIVE LOGITS
     camping
    3.71
     hiking
    1.80
     skiing
    1.54
     tents
    1.54
     camp
    1.48
    camp
    1.46
     camps
    1.41
     biking
    1.37
     hunting
    1.37
    Camp
    1.33
    Activations Density 0.020%

    No Known Activations