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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. 6644
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    Explanations

    numbers representing quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 90

    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
     visitation
    -0.77
     Klein
    -0.63
    ographer
    -0.62
     Kas
    -0.60
     nob
    -0.60
    ezvous
    -0.60
     jugg
    -0.59
     Heard
    -0.58
     pest
    -0.58
     Hod
    -0.57
    POSITIVE LOGITS
    90
    3.42
    91
    2.24
    95
    2.21
    92
    2.13
    93
    2.13
    80
    2.13
    70
    2.08
    85
    2.08
    94
    2.02
    89
    2.01
    Activations Density 0.019%

    No Known Activations