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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. 6-RES-JB
    11. 9684
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    INDEX
    Explanations

    phrases expressing quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize abundance or a significant quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AMA
    -0.62
     immunity
    -0.62
    nings
    -0.62
    endas
    -0.62
     trusts
    -0.61
     belts
    -0.61
    thood
    -0.61
     defends
    -0.61
    uctions
    -0.60
    aughs
    -0.60
    POSITIVE LOGITS
    compatible
    0.70
     wiser
    0.67
     overdue
    0.66
     PIT
    0.66
     reliant
    0.66
    ailable
    0.64
    angered
    0.63
    done
    0.62
    osite
    0.61
    lier
    0.61
    Activations Density 0.378%

    No Known Activations