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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 2750
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    Explanations

    the word "Bah."

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Bah" and its variations in context, likely pertaining to geographical or cultural mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essee
    -0.66
    guard
    -0.61
    enegger
    -0.61
    effects
    -0.61
     Casting
    -0.59
    imately
    -0.58
     UNIVERS
    -0.58
    ultimate
    -0.57
     steril
    -0.57
    ographically
    -0.57
    POSITIVE LOGITS
    renheit
    1.14
    aii
    0.93
    asa
    0.91
    rics
    0.90
    awks
    0.89
    rill
    0.89
    aha
    0.86
    amas
    0.85
    ·
    0.85
    ls
    0.83
    Activations Density 0.022%

    No Known Activations