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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. 12-RES-JB
    11. 2277
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    INDEX
    Explanations

    phrases starting with 'a'

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instances of articles and their accompanying context in the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ãĥ¯
    -0.71
    apons
    -0.71
    chev
    -0.71
    posts
    -0.70
    ãĥİ
    -0.66
    oci
    -0.66
    ãĤ¤ãĥĪ
    -0.65
    ignty
    -0.65
    esse
    -0.65
    ports
    -0.65
    POSITIVE LOGITS
     hiatus
    1.16
     unsuccessful
    1.09
     protracted
    1.06
     tumultuous
    1.02
     stint
    1.02
     lengthy
    1.01
     successful
    0.97
     rocky
    0.97
     lapse
    0.97
     exhaustive
    0.94
    Activations Density 0.179%

    No Known Activations