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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. 6417
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    Explanations

    phrases related to demonstrating or showing something to others

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to understanding and conveying information to others

    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
    ograp
    -0.76
    cffffcc
    -0.74
    ãĤ´ãĥ³
    -0.70
    ischer
    -0.68
    luaj
    -0.67
    }}}
    -0.66
    ÃĥÃĤ
    -0.63
    Pg
    -0.63
    etting
    -0.62
    enty
    -0.62
    POSITIVE LOGITS
     how
    1.30
     that
    1.26
     why
    1.25
    that
    1.06
     whether
    1.05
     WHY
    1.01
     what
    0.97
    how
    0.95
     whence
    0.92
     where
    0.90
    Activations Density 0.258%

    No Known Activations