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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. 13571
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    Explanations

    references to specific universities and brands

    oai_token-act-pair · gpt-3.5-turbo

    references to significant institutions and organizations, particularly universities and brands

    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
    less
    -0.77
    ahime
    -0.77
     guiActiveUnfocused
    -0.67
    sand
    -0.67
    bnb
    -0.67
    20439
    -0.65
    eele
    -0.64
    guide
    -0.64
     stroke
    -0.63
     bearer
    -0.63
    POSITIVE LOGITS
     Dame
    1.17
    avement
    1.06
    ¯
    0.92
    licts
    0.90
    lict
    0.89
    cé
    0.84
    Ĵ
    0.83
    ©
    0.80
    ¦
    0.80
    ħ
    0.79
    Activations Density 0.045%

    No Known Activations