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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. 11-RES-JB
    11. 13866
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    Explanations

    phrases describing a surprising or remarkable aspect of a situation

    oai_token-act-pair · gpt-3.5-turbo

    statements of interest or notable facts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agues
    -0.74
    enium
    -0.63
    ievers
    -0.60
    ished
    -0.59
    luaj
    -0.58
    iard
    -0.56
    chairs
    -0.54
    iership
    -0.54
     favourites
    -0.53
    icc
    -0.53
    POSITIVE LOGITS
     how
    1.13
     that
    1.07
    that
    1.01
     THAT
    0.99
    how
    0.92
     why
    0.86
     HOW
    0.80
     WHY
    0.77
     whether
    0.74
     not
    0.73
    Activations Density 0.076%

    No Known Activations