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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. 2-RES-JB
    11. 18808
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    INDEX
    Explanations

    mentions of challenges or obstacles that need to be overcome

    oai_token-act-pair · gpt-3.5-turbo

    references to challenges or obstacles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orp
    -0.91
    ersive
    -0.68
    obar
    -0.67
    oral
    -0.65
    orthern
    -0.64
    akening
    -0.63
    usage
    -0.63
    ongyang
    -0.63
    izations
    -0.62
    False
    -0.61
    POSITIVE LOGITS
     hurdles
    1.34
     hurdle
    1.28
     obstacles
    0.93
     obstacle
    0.92
     hoops
    0.77
     barriers
    0.76
    hill
    0.76
     hurd
    0.70
     waivers
    0.70
    boards
    0.68
    Activations Density 0.011%

    No Known Activations