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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. 9-RES-JB
    11. 1472
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    Explanations

    names, likely Julian Assange

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contempor
    -0.85
     tablet
    -0.83
     confer
    -0.75
     hemor
    -0.74
     pill
    -0.73
     metic
    -0.73
     eleph
    -0.73
     fragment
    -0.72
     lamp
    -0.71
    éĸ
    -0.70
    POSITIVE LOGITS
    nos
    1.25
    zes
    1.24
    ues
    1.22
    os
    1.18
    les
    1.13
    asses
    1.12
    rs
    1.12
    atos
    1.10
    ps
    1.08
    bles
    1.08
    Activations Density 0.180%

    No Known Activations