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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. 3-RES-JB
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    Explanations

    words related to geographical locations, specifically lakes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Lake," indicating a focus on geographical references

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     tremend
    -0.89
    nir
    -0.86
    endiary
    -0.78
    */(
    -0.76
    imental
    -0.75
    nesday
    -0.72
    NRS
    -0.72
    ulously
    -0.71
    senal
    -0.70
    AAAAAAAA
    -0.68
    POSITIVE LOGITS
     Lake
    0.99
     Erie
    0.96
     Superior
    0.89
     Mead
    0.87
    front
    0.87
     Nile
    0.87
     Falls
    0.87
     trout
    0.86
     Creek
    0.86
     Lakes
    0.86
    Activations Density 0.009%

    No Known Activations