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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. 20731
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    Explanations

    references to tangible or physical entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to materialism or physical substances

    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
    enda
    -0.65
    ULTS
    -0.62
    unct
    -0.62
    cffffcc
    -0.61
    FLAG
    -0.61
    ecake
    -0.60
     Pis
    -0.59
    GBT
    -0.58
     Beard
    -0.57
     Strauss
    -0.57
    POSITIVE LOGITS
    ized
    1.13
    ity
    1.12
    izes
    1.07
    istic
    1.07
    ization
    1.04
    izing
    1.03
    ize
    1.03
    ised
    0.99
    isations
    0.98
    izations
    0.95
    Activations Density 0.040%

    No Known Activations