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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17541
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to artistic expressions and creative events

    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
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    Negative Logits
    ELY
    -0.67
    terday
    -0.64
     Wanted
    -0.63
     AFTER
    -0.60
     anyways
    -0.60
    ecause
    -0.60
     BEFORE
    -0.60
     tomorrow
    -0.59
     Didn
    -0.59
     Tomorrow
    -0.58
    POSITIVE LOGITS
    âĢ
    1.39
     âĢ
    1.16
    .—
    1.04
    âĢł
    1.03
    .</
    1.02
    .�
    0.93
    .[
    0.91
    âĸ
    0.91
    ¶
    0.90
    â
    0.88
    Activations Density 0.695%

    No Known Activations