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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. 14245
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    Explanations

    information about individuals and their roles or actions in various settings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their roles or statements

    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
     depended
    -0.56
     depends
    -0.55
    ".[
    -0.54
     deterrent
    -0.53
     guideline
    -0.52
     reliant
    -0.52
     vulnerability
    -0.51
    .–
    -0.49
     stale
    -0.48
     deterrence
    -0.48
    POSITIVE LOGITS
    ragon
    0.60
    ãĥīãĥ©ãĤ´ãĥ³
    0.58
    itone
    0.57
    ledged
    0.54
     himself
    0.54
    ogie
    0.54
    arthy
    0.54
    ÄŁ
    0.53
    Ô
    0.53
    çĶ°
    0.53
    Activations Density 2.883%

    No Known Activations