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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. 9-RES-JB
    11. 2513
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    Explanations

    capital letters followed by numerical values, potentially related to specific identifiers or codes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.60
     agric
    -0.59
     bour
    -0.59
    addons
    -0.57
     nearby
    -0.56
     compan
    -0.56
    ãĥ¼ãĥĨ
    -0.56
     fam
    -0.56
    private
    -0.55
    ordering
    -0.54
    POSITIVE LOGITS
    ERY
    1.35
    LEY
    1.33
    ED
    1.31
    ING
    1.30
    ON
    1.27
    HAM
    1.26
    INGTON
    1.26
    TOR
    1.25
    IST
    1.24
    OTE
    1.23
    Activations Density 0.305%

    No Known Activations