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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. 10398
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    Explanations

    references to "borne" - likely relating to diseases, military, or specific names

    oai_token-act-pair · gpt-3.5-turbo

    references to "borne" in various contexts, particularly related to diseases and conditions

    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
     doc
    -0.74
     tut
    -0.63
    UCT
    -0.63
     max
    -0.61
     brainstorm
    -0.61
     lunch
    -0.58
     TAG
    -0.58
     contradict
    -0.57
     Jav
    -0.57
     puppies
    -0.57
    POSITIVE LOGITS
    borne
    4.59
    bourne
    1.46
    born
    1.40
     borne
    1.39
    worthy
    0.97
     airborne
    0.92
    mingham
    0.86
    fare
    0.86
    stained
    0.85
    wick
    0.85
    Activations Density 0.007%

    No Known Activations