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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. 18492
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    Explanations

    capitalized single letters

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'F'

    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
    vier
    -0.80
     Aether
    -0.65
    manship
    -0.65
     tackles
    -0.64
     Boone
    -0.63
     Clever
    -0.61
     machine
    -0.61
     Tosh
    -0.61
    pocket
    -0.61
     Twain
    -0.61
    POSITIVE LOGITS
    ertility
    1.19
    rozen
    1.14
    avorable
    1.13
    ruits
    1.13
    avour
    1.10
    ortun
    1.10
    iltration
    1.09
    ocused
    1.08
    ocusing
    1.07
    ederation
    1.06
    Activations Density 0.056%

    No Known Activations