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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. 0-RES-JB
    11. 19180
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    Explanations

    words related to filtering or sorting

    oai_token-act-pair · gpt-3.5-turbo

    words related to filtering or processing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bi
    -0.60
     Fam
    -0.58
     Fitzgerald
    -0.57
     CPS
    -0.56
     FE
    -0.56
     FS
    -0.56
     domestically
    -0.55
     Channel
    -0.55
     crit
    -0.53
     Su
    -0.53
    POSITIVE LOGITS
    tering
    4.59
    ters
    1.89
    tered
    1.72
    ter
    1.72
    ting
    1.28
    zing
    1.10
    ching
    1.08
    tera
    1.08
    TER
    1.05
    pering
    1.05
    Activations Density 0.005%

    No Known Activations