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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. 4-RES-JB
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    Explanations

    mentions of retail department stores or departments within a larger organization

    oai_token-act-pair · gpt-3.5-turbo

    references to departments within organizations, particularly in a retail or institutional context

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

    No Comments

    Negative Logits
    telling
    -0.79
     Intent
    -0.69
    isers
    -0.65
     Rounds
    -0.62
    fitting
    -0.61
     Predators
    -0.60
    chers
    -0.59
    lihood
    -0.59
    iser
    -0.59
    falls
    -0.58
    POSITIVE LOGITS
    artment
    0.98
    al
    0.95
    artments
    0.93
    alities
    0.87
    ality
    0.86
    ij士
    0.80
    utical
    0.79
    ysis
    0.79
    istry
    0.78
    naire
    0.78
    Activations Density 0.020%

    No Known Activations