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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. 3-RES-JB
    11. 11383
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    Explanations

    words related to specific terms such as 'league' or 'identifiers'

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "league" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pilgrim
    -0.77
     Lyme
    -0.70
     Kimber
    -0.67
     Commonwealth
    -0.63
     McDonnell
    -0.62
     Bridgewater
    -0.62
    days
    -0.61
     Democr
    -0.60
    âķIJâķIJ
    -0.59
     Wink
    -0.59
    POSITIVE LOGITS
    illac
    1.05
    arin
    1.02
    pta
    0.98
    cci
    0.96
    agu
    0.92
    ota
    0.92
    eteenth
    0.90
    eta
    0.89
    atl
    0.89
    inary
    0.88
    Activations Density 0.006%

    No Known Activations