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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. 6-RES-JB
    11. 5150
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    Explanations

    chemical elements and compounds

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to reasoning and logic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mable
    -0.79
    eworld
    -0.73
    ORN
    -0.72
    rush
    -0.71
    MN
    -0.71
    snap
    -0.70
    TED
    -0.70
    ought
    -0.70
    Spread
    -0.69
    OVER
    -0.68
    POSITIVE LOGITS
     Gentleman
    0.80
     sophistic
    0.80
     bourgeoisie
    0.76
     dilig
    0.73
     Volks
    0.69
     bou
    0.69
     gentlemen
    0.68
    bourg
    0.68
     du
    0.68
     Ãł
    0.67
    Activations Density 0.324%

    No Known Activations