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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. 6-RES-JB
    11. 694
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    Explanations

    mentions of visitors

    oai_token-act-pair · gpt-3.5-turbo

    mentions of visitors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.91
    negie
    -0.78
    corn
    -0.75
    esson
    -0.67
    SourceFile
    -0.65
    ukes
    -0.64
    ray
    -0.63
    rum
    -0.62
    arity
    -0.60
     marrow
    -0.60
    POSITIVE LOGITS
     attractions
    0.89
     visitors
    0.86
    issance
    0.85
    Reviewer
    0.84
     visitation
    0.81
    hip
    0.79
     visiting
    0.76
    iences
    0.71
    glers
    0.71
    cript
    0.70
    Activations Density 0.021%

    No Known Activations