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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. 4-RES-JB
    11. 18614
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    Explanations

    locations related to lakes and bodies of water

    oai_token-act-pair · gpt-3.5-turbo

    references to lakes and related water bodies

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

    No Comments

    Negative Logits
    ENTS
    -0.80
    Reply
    -0.74
    IBLE
    -0.72
    ENT
    -0.71
     cmd
    -0.69
    IFA
    -0.68
    =-=-=-=-=-=-=-=-
    -0.68
    untu
    -0.68
    NOR
    -0.67
     procedural
    -0.65
    POSITIVE LOGITS
    creen
    0.97
    peak
    0.97
    hire
    0.90
     Lakes
    0.87
    eries
    0.87
    cence
    0.85
     lakes
    0.85
    omed
    0.84
    mith
    0.84
     Erie
    0.84
    Activations Density 0.017%

    No Known Activations