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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. 9330
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    Explanations

    instances of commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    negations or expressions of absence

    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
    psc
    -0.70
    itus
    -0.51
     thous
    -0.51
    faced
    -0.48
    enn
    -0.48
    è¦
    -0.47
    ãĥ¼ãĥĨãĤ£
    -0.46
    itor
    -0.46
    SON
    -0.45
    cong
    -0.44
    POSITIVE LOGITS
     a
    1.51
    a
    1.12
     an
    1.08
     another
    0.73
     A
    0.70
    A
    0.68
     alot
    0.68
    pires
    0.65
    pired
    0.62
    Ãł
    0.59
    Activations Density 0.875%

    No Known Activations