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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. 2-RES-JB
    11. 22117
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    Explanations

    references to physical locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "front" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ======
    -0.80
    IRO
    -0.79
    gger
    -0.71
    tar
    -0.69
    za
    -0.66
    Rating
    -0.65
    awk
    -0.65
    minecraft
    -0.63
    ascript
    -0.63
    ARP
    -0.62
    POSITIVE LOGITS
    front
    0.84
     front
    0.79
     fronts
    0.78
    mast
    0.75
    runners
    0.75
     porch
    0.75
     lawn
    0.74
    court
    0.73
    office
    0.72
    ugal
    0.72
    Activations Density 0.017%

    No Known Activations