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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. 13552
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    Explanations

    details about physical objects, characteristics, and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to physical characteristics and attributes

    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
    oppable
    -0.94
    assisted
    -0.76
    enario
    -0.74
    hare
    -0.74
    conference
    -0.73
    soon
    -0.71
    efficient
    -0.71
    nesday
    -0.69
    peer
    -0.69
    Dispatch
    -0.68
    POSITIVE LOGITS
     seams
    1.40
     wrinkles
    1.39
     stains
    1.36
     scratches
    1.29
     bits
    1.28
     irregularities
    1.25
     fingerprints
    1.23
     traces
    1.22
     markings
    1.22
     moisture
    1.19
    Activations Density 0.886%

    No Known Activations