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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. 10-RES-JB
    11. 2913
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    Explanations

    phrases related to making plans or decisions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    However
    -0.76
     However
    -0.75
    butt
    -0.74
    But
    -0.72
     But
    -0.70
    oba
    -0.69
    idon
    -0.66
    hex
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.65
    è£ħ
    -0.61
    POSITIVE LOGITS
     nonetheless
    0.99
     namely
    0.97
     especially
    0.79
     owing
    0.79
     according
    0.78
    especially
    0.76
     particularly
    0.72
    particularly
    0.72
     anyway
    0.72
     insofar
    0.70
    Activations Density 0.338%

    No Known Activations