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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. 9-RES-JB
    11. 23398
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    INDEX
    Explanations

    comparisons of choices or preferences between two options

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases that emphasize one option over another

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Voice
    -0.65
    EMS
    -0.63
     Foot
    -0.62
    lance
    -0.61
     Operator
    -0.60
     Signature
    -0.60
    emin
    -0.60
    iren
    -0.60
     UA
    -0.60
    ELD
    -0.57
    POSITIVE LOGITS
     pursue
    1.15
     punish
    1.13
     engage
    1.11
     seek
    1.10
     succumb
    1.08
     undertake
    1.05
     emulate
    1.05
     indulge
    1.03
     recreate
    1.03
     dismantle
    1.02
    Activations Density 0.265%

    No Known Activations