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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. 3599
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    Explanations

    phrases where something is described or characterized

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of actions or events, particularly those involving significant implications or critiques

    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
     ensued
    -0.63
    ovember
    -0.62
     laure
    -0.61
    eties
    -0.61
    otted
    -0.60
    redo
    -0.60
     Pratt
    -0.58
    ework
    -0.57
     persisted
    -0.55
     awaits
    -0.55
    POSITIVE LOGITS
     differently
    1.12
     as
    1.06
     favorably
    1.03
     skept
    0.77
    as
    0.77
     unfairly
    0.72
     positively
    0.70
     negatively
    0.68
     objectively
    0.65
     akin
    0.65
    Activations Density 0.354%

    No Known Activations