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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. 7-RES-JB
    11. 7446
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to potential, possibility, or significant experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.72
     Played
    -0.72
    eline
    -0.72
    wash
    -0.65
    quickShipAvailable
    -0.65
     ridden
    -0.64
    christ
    -0.63
     Niet
    -0.62
     Bought
    -0.62
     rocked
    -0.62
    POSITIVE LOGITS
     Flavoring
    0.81
     some
    0.72
     ILCS
    0.68
    those
    0.68
     distinctions
    0.66
     considerable
    0.66
     innumerable
    0.65
     instances
    0.65
     occasional
    0.64
     myriad
    0.64
    Activations Density 0.420%

    No Known Activations