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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. 4-RES-JB
    11. 20386
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    Explanations

    phrases describing official statements or reports

    oai_token-act-pair · gpt-3.5-turbo

    the word "the."

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

    No Comments

    Negative Logits
    thood
    -0.79
    tumblr
    -0.71
    ample
    -0.66
    aba
    -0.65
    arettes
    -0.65
    udo
    -0.65
    acs
    -0.65
    ãĤĭ
    -0.63
    cial
    -0.63
    ea
    -0.63
    POSITIVE LOGITS
     strongest
    1.14
     latest
    1.14
     latter
    1.08
     biggest
    1.04
     toughest
    1.02
     oldest
    1.02
     hardest
    1.00
     simplest
    1.00
     fastest
    0.99
     easiest
    0.97
    Activations Density 0.371%

    No Known Activations