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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. 11-RES-JB
    11. 3417
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    INDEX
    Explanations

    liquids and gases movement-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental processes and chemical interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FM
    -0.66
    FN
    -0.65
    PN
    -0.64
     NCT
    -0.63
    RM
    -0.63
     employing
    -0.63
    cknow
    -0.62
    cffffcc
    -0.62
     appointing
    -0.62
     Saying
    -0.61
    POSITIVE LOGITS
     penetrate
    1.20
     escapes
    1.15
     diffuse
    1.12
     flowed
    1.11
     contamin
    1.11
     penet
    1.08
     contam
    1.08
     perme
    1.07
     enters
    1.07
     escaping
    1.05
    Activations Density 0.237%

    No Known Activations