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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. 4860
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    INDEX
    Explanations

    appearances or mentions of specific items or characteristics in a text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "appear" and its variations

    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
    shaw
    -0.87
    rient
    -0.80
    ricular
    -0.78
    dp
    -0.71
    cise
    -0.70
    ça
    -0.69
    sted
    -0.68
    pping
    -0.68
    ritical
    -0.67
    brace
    -0.67
    POSITIVE LOGITS
    DragonMagazine
    0.91
    Magikarp
    0.83
    Pause
    0.75
     Minion
    0.73
    Crash
    0.70
     contradictions
    0.70
    iary
    0.69
    MG
    0.67
    Coin
    0.67
    lihood
    0.66
    Activations Density 0.040%

    No Known Activations