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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. 11773
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    adjectives or phrases related to characteristics or attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classifications and descriptors

    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
     «
    -0.99
     �
    -0.94
     ãĢĮ
    -0.89
    .):
    -0.83
     ().
    -0.78
    ãĢĮ
    -0.78
     §§
    -0.73
    âĶĢ
    -0.73
    ,)
    -0.72
    .)
    -0.72
    POSITIVE LOGITS
    "
    1.76
    %"
    1.59
    "?
    1.53
    "-
    1.50
    "!
    1.49
    ",
    1.47
    ")
    1.43
    ".
    1.42
    "—
    1.37
    '"
    1.36
    Activations Density 0.498%

    No Known Activations