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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. 6017
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    Explanations

    words starting with 'tt' and 'ttt'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "tt"

    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
    pha
    -0.67
    RAM
    -0.66
    places
    -0.65
    culated
    -0.59
     infringing
    -0.59
     exha
    -0.58
    gnu
    -0.58
    usage
    -0.58
    ulative
    -0.57
    ĺħ
    -0.56
    POSITIVE LOGITS
    iquette
    1.12
    leneck
    1.04
    ilde
    1.02
    idy
    1.00
    uning
    0.96
    icket
    0.93
    elsen
    0.87
    achment
    0.86
    ribute
    0.85
    icks
    0.84
    Activations Density 0.062%

    No Known Activations