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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. 19409
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    Explanations

    proper nouns related to individuals' names

    oai_token-act-pair · gpt-3.5-turbo

    instances of a particular character or term

    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
    è¦ļéĨĴ
    -0.88
     shaping
    -0.67
     heaviest
    -0.64
    ORGE
    -0.63
     sorting
    -0.63
    akings
    -0.63
     indo
    -0.62
     machinery
    -0.62
     stakes
    -0.62
     Nile
    -0.62
    POSITIVE LOGITS
    pected
    1.43
    pect
    1.41
    pects
    1.32
    pic
    1.31
    pecting
    1.27
    annah
    1.15
    pir
    1.13
    cept
    1.09
    itives
    0.97
    peria
    0.96
    Activations Density 0.038%

    No Known Activations