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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. 14398
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    Explanations

    mentions of external entities or items

    oai_token-act-pair · gpt-3.5-turbo

    mentions of external factors or entities

    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
    âķIJâķIJ
    -0.75
    TOP
    -0.74
    killer
    -0.72
    EY
    -0.72
     Slay
    -0.71
    Franc
    -0.71
    SHIP
    -0.70
    oned
    -0.70
    cher
    -0.70
    kers
    -0.68
    POSITIVE LOGITS
    ized
    0.89
     external
    0.89
    etheless
    0.87
    ities
    0.85
     combustion
    0.82
    izers
    0.81
    ization
    0.81
     externally
    0.79
     hemorrh
    0.79
     dimensions
    0.77
    Activations Density 0.010%

    No Known Activations