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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. 2-RES-JB
    11. 23532
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    Explanations

    word strings with a mix of letters, symbols, and numbers, possibly related to technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raint
    -0.81
    inctions
    -0.81
    raints
    -0.80
    ktop
    -0.70
    aspers
    -0.69
    olitan
    -0.68
    iewicz
    -0.67
     delinqu
    -0.66
    schild
    -0.65
    auga
    -0.65
    POSITIVE LOGITS
    ĸ
    1.21
    ¶
    1.05
    ¾
    1.04
    ®
    1.03
    Ĺ
    1.01
    åĤ
    1.00
    ħĭ
    0.99
    ¬
    0.95
    ij
    0.92
    ¸
    0.92
    Activations Density 0.003%

    No Known Activations