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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. 3862
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    Explanations

    references to specific names or terms related to education, institutions, and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letters "Sc" followed by additional characters or words

    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
    etheless
    -0.96
    terday
    -0.85
    Downloadha
    -0.81
     lapse
    -0.80
     remembrance
    -0.71
    vironment
    -0.69
     standby
    -0.68
    heit
    -0.68
    swer
    -0.68
     behold
    -0.65
    POSITIVE LOGITS
    ratch
    1.26
    ulpt
    1.21
    apers
    1.20
    attered
    1.15
    rawl
    1.12
    rupulous
    1.09
    reens
    1.08
    enario
    1.08
    acher
    1.06
    reenshots
    1.06
    Activations Density 0.008%

    No Known Activations