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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
    11. 15927
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    INDEX
    Explanations

    references to sources or origins of specific types of energy

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to available resources or conditions

    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
    andowski
    -0.63
    bably
    -0.58
     apologize
    -0.57
    selage
    -0.57
     sidx
    -0.57
    aye
    -0.56
     presided
    -0.53
     ACTIONS
    -0.52
    aptic
    -0.52
     apologise
    -0.51
    POSITIVE LOGITS
     Harvest
    0.58
    parts
    0.55
    tones
    0.53
     Grind
    0.53
     Advocate
    0.50
     Sierra
    0.49
    glers
    0.49
    ducers
    0.48
     Lakes
    0.46
     phosphorus
    0.46
    Activations Density 2.068%

    No Known Activations