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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. 11372
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    INDEX
    Explanations

    proper nouns and emails

    oai_token-act-pair · gpt-3.5-turbo

    names of food items and related terms

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Ninth
    -0.67
     Instr
    -0.63
     Ames
    -0.61
     CPS
    -0.61
     Gong
    -0.60
     Mayo
    -0.58
     Labor
    -0.58
     Vern
    -0.58
     Calder
    -0.58
    ÃĤ
    -0.57
    POSITIVE LOGITS
    @
    1.21
     Profile
    1.03
    _-_
    0.98
    ":{"
    0.97
    666
    0.91
    _
    0.90
    1981
    0.89
    podcast
    0.86
    007
    0.85
    guy
    0.84
    Activations Density 0.239%

    No Known Activations