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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. 3-RES-JB
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    Explanations

    instances of the word "visitor"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "visitor" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arity
    -0.72
    rum
    -0.66
    negie
    -0.64
    corn
    -0.62
    ray
    -0.61
     Rossi
    -0.60
    lain
    -0.59
     Coat
    -0.59
    rah
    -0.57
     Shotgun
    -0.57
    POSITIVE LOGITS
     visitors
    0.96
    Reviewer
    0.96
     attractions
    0.91
     visitation
    0.89
    issance
    0.88
    hip
    0.83
     visiting
    0.77
     Visitors
    0.77
    iences
    0.76
     guests
    0.76
    Activations Density 0.011%

    No Known Activations