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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. 8-RES-JB
    11. 11985
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    INDEX
    Explanations

    phrases prompting the reader to remember specific events or information

    oai_token-act-pair · gpt-3.5-turbo

    references to memories or past events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gui
    -0.75
    potion
    -0.73
    ItemTracker
    -0.69
    tein
    -0.67
    Released
    -0.66
    hung
    -0.65
    apeshifter
    -0.65
    utenberg
    -0.64
    hire
    -0.64
    addock
    -0.64
    POSITIVE LOGITS
    remember
    0.95
    ably
    0.83
     remembering
    0.76
     how
    0.74
     remember
    0.71
     forgotten
    0.71
     whence
    0.68
     calendars
    0.66
    ees
    0.66
     reminding
    0.65
    Activations Density 0.021%

    No Known Activations