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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. 2290
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    Explanations

    keywords related to data processing in a batch format

    oai_token-act-pair · gpt-3.5-turbo

    references to "batches" and "batch processing"

    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
     stances
    -0.71
    PLIED
    -0.70
    ACTED
    -0.70
    pose
    -0.64
    undai
    -0.61
    inav
    -0.61
    ophers
    -0.61
     ancest
    -0.61
     neighb
    -0.61
     familiarity
    -0.60
    POSITIVE LOGITS
     batches
    0.91
    ting
    0.82
     thereof
    0.79
    meal
    0.78
     batch
    0.76
    mates
    0.75
    tery
    0.72
     of
    0.70
    romeda
    0.70
    hari
    0.67
    Activations Density 0.060%

    No Known Activations