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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. 23356
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    Explanations

    dates or time periods, particularly ones indicating lateness

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "late" followed by a date reference

    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
    apego
    -0.80
    oppable
    -0.79
    ersive
    -0.77
    hyde
    -0.76
    Reviewer
    -0.73
    ailable
    -0.68
    inguished
    -0.66
    icion
    -0.65
    sers
    -0.65
    ylum
    -0.64
    POSITIVE LOGITS
     autumn
    0.99
     April
    0.98
     December
    0.98
     February
    0.96
     October
    0.96
     August
    0.95
     January
    0.95
     adolescence
    0.95
     summer
    0.95
     July
    0.95
    Activations Density 0.050%

    No Known Activations