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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. 19844
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    INDEX
    Explanations

    strings of hyphenated words that form a cohesive phrase or term

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiments or criticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     cutting
    -0.77
     casting
    -0.71
     striking
    -0.71
     estimating
    -0.70
     drastic
    -0.67
     core
    -0.67
     augment
    -0.66
     shedding
    -0.66
     hurting
    -0.65
     viewing
    -0.65
    POSITIVE LOGITS
    whatever
    1.27
    edition
    1.23
    alist
    1.20
    turned
    1.10
    distance
    1.10
    basketball
    1.09
    with
    1.06
    style
    1.04
    repeat
    1.04
    etc
    1.04
    Activations Density 0.109%

    No Known Activations