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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. 1428
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    Explanations

    specific days mentioned in relation to events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and nights in chronological events

    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
     VIDEOS
    -0.64
    olate
    -0.64
    itton
    -0.62
    è»
    -0.60
     Flavoring
    -0.60
    ãģį
    -0.60
    ocated
    -0.59
    akia
    -0.59
     ACTIONS
    -0.59
    azeera
    -0.59
    POSITIVE LOGITS
     before
    0.79
    lights
    0.71
    nings
    0.70
     they
    0.68
    books
    0.66
     she
    0.64
     BEFORE
    0.64
     Dawkins
    0.63
    finals
    0.63
     premiere
    0.61
    Activations Density 0.075%

    No Known Activations