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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. 11580
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    Explanations

    phrases related to events or actions coming to an end

    oai_token-act-pair · gpt-3.5-turbo

    statements related to future events and ongoing actions

    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
     pockets
    -0.77
     abusers
    -0.75
     representations
    -0.73
     corners
    -0.71
    stock
    -0.66
     residues
    -0.65
     journals
    -0.63
     Sul
    -0.63
     lashes
    -0.62
     denominations
    -0.62
    POSITIVE LOGITS
     underway
    1.19
     postponed
    0.96
     adjourn
    0.92
     scheduled
    0.88
     happening
    0.85
     conducted
    0.84
     undertaken
    0.82
     billed
    0.81
    ģ«
    0.80
     occurring
    0.79
    Activations Density 0.521%

    No Known Activations