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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. 1-RES-JB
    11. 14231
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    Explanations

    words related to scheduling and planning, particularly related to events or tasks

    oai_token-act-pair · gpt-3.5-turbo

    references to calendars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.88
    ARP
    -0.87
    ACTED
    -0.75
    Reviewer
    -0.75
    por
    -0.73
    esty
    -0.72
    Priv
    -0.71
    private
    -0.70
    olulu
    -0.70
    upon
    -0.70
    POSITIVE LOGITS
     calendar
    1.43
     calendars
    1.30
     Calendar
    1.19
    endars
    0.84
    endar
    0.75
     schedules
    0.75
     schedule
    0.74
    dule
    0.73
    book
    0.73
     cal
    0.72
    Activations Density 0.006%

    No Known Activations