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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. 9469
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    Explanations

    mentions of rabbits

    oai_token-act-pair · gpt-3.5-turbo

    references to rabbits and bunnies

    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
    ician
    -0.89
    igmat
    -0.86
    rylic
    -0.86
    omething
    -0.85
    xit
    -0.84
    inen
    -0.83
    inia
    -0.75
    orie
    -0.74
    ructure
    -0.72
     Archdemon
    -0.70
    POSITIVE LOGITS
    MQ
    1.25
     Hole
    0.90
     Rabbit
    0.85
    meat
    0.82
     rabbit
    0.80
     Nest
    0.76
     Wilde
    0.73
     ears
    0.73
     rabbits
    0.72
    sey
    0.72
    Activations Density 0.016%

    No Known Activations