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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. 11-RES-JB
    11. 9088
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    INDEX
    Explanations

    phrases related to decision-making or polarized statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating assessments or comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     luc
    -0.84
    Elsa
    -0.73
    lda
    -0.72
    agnar
    -0.71
    Els
    -0.71
     aer
    -0.71
    urga
    -0.71
     tul
    -0.71
    DEN
    -0.70
    Georg
    -0.69
    POSITIVE LOGITS
     Shape
    1.27
     Smile
    1.25
     Bite
    1.20
     Drive
    1.19
     Drop
    1.18
     Score
    1.17
     Steal
    1.16
     Shot
    1.15
     Drink
    1.15
     Profit
    1.14
    Activations Density 0.490%

    No Known Activations