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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. 7-RES-JB
    11. 5060
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    Explanations

    proper nouns with unusual spellings

    oai_token-act-pair · gpt-3.5-turbo

    specific sequences of characters or symbols within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çĶ°
    -0.76
    ŃĶ
    -0.71
    代
    -0.70
    çIJ
    -0.63
    DragonMagazine
    -0.62
    ãĥ¯ãĥ³
    -0.62
     Nile
    -0.61
    utm
    -0.61
    ãĥĩ
    -0.61
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.60
    POSITIVE LOGITS
    chers
    0.82
    levard
    0.78
    aii
    0.76
    atcher
    0.73
    glers
    0.73
    riers
    0.72
    cher
    0.72
    tering
    0.71
    akery
    0.70
    hers
    0.70
    Activations Density 0.187%

    No Known Activations