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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. 7-RES-JB
    11. 14231
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    Explanations

    prepositions indicating location

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" frequently in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Sheep
    -0.64
     Fact
    -0.58
    zik
    -0.58
    Agent
    -0.57
     Lemon
    -0.57
     Tape
    -0.56
     Pigs
    -0.55
    hematically
    -0.55
    Sov
    -0.54
    gey
    -0.54
    POSITIVE LOGITS
    rogen
    0.82
     vicinity
    0.75
     around
    0.73
    alus
    0.68
    rogens
    0.63
    ucl
    0.63
    adic
    0.61
    ophobic
    0.60
     nurs
    0.60
    OTT
    0.59
    Activations Density 0.065%

    No Known Activations