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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. 6-RES-JB
    11. 2690
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    Explanations

    locations or specific places within sentences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    avorite
    -0.86
    tarian
    -0.72
    istries
    -0.69
     glim
    -0.66
     caucuses
    -0.65
     suspic
    -0.65
     newsp
    -0.65
     incorrectly
    -0.64
    ãĥ¼ãĥĨãĤ£
    -0.64
     superpower
    -0.64
    POSITIVE LOGITS
     Regist
    0.79
     Levant
    0.74
     Amen
    0.73
    please
    0.72
    ño
    0.72
     lang
    0.71
     Ney
    0.71
     alle
    0.70
    eds
    0.68
    lé
    0.68
    Activations Density 0.199%

    No Known Activations