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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. 4-RES-JB
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    Explanations

    various actions or events that have been discovered, corrected, edited, found, recommended, labeled, made, criticized, viewed, named, described, or viewed by others

    oai_token-act-pair · gpt-3.5-turbo

    words associated with discoveries or significant findings

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

    No Comments

    Negative Logits
    arist
    -0.68
    rouse
    -0.63
    ears
    -0.61
    Zone
    -0.61
    bt
    -0.59
    Church
    -0.58
    Operation
    -0.57
    rients
    -0.57
    arms
    -0.57
    iew
    -0.57
    POSITIVE LOGITS
     lately
    0.84
    Ļ½
    0.75
     elsewhere
    0.74
    Ú
    0.72
    ĸļ
    0.71
    kef
    0.71
    IFIED
    0.71
    iasco
    0.70
    igated
    0.70
    opted
    0.70
    Activations Density 0.164%

    No Known Activations