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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. 10-RES-JB
    11. 923
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    INDEX
    Explanations

    prepositions followed by specific spatial positions or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     selves
    -0.71
     cities
    -0.70
    theless
    -0.70
     lengths
    -0.69
    +.
    -0.68
     commitments
    -0.67
     intrins
    -0.67
    erness
    -0.67
     affiliates
    -0.66
     preparations
    -0.66
    POSITIVE LOGITS
     whom
    1.08
    otto
    0.76
    ãĤ¨ãĥ«
    0.73
    liest
    0.72
    Redditor
    0.69
    vertisement
    0.69
    chief
    0.69
    wered
    0.68
    ãĥĺ
    0.67
    ãĥĦ
    0.66
    Activations Density 0.292%

    No Known Activations