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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. 9-RES-JB
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    Explanations

    instances of the number '100' being mentioned with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "100%."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olas
    -0.69
    mare
    -0.67
    igham
    -0.65
    rift
    -0.65
     brill
    -0.64
     vigil
    -0.63
     Sands
    -0.62
    achi
    -0.61
     agitation
    -0.59
     clen
    -0.59
    POSITIVE LOGITS
    00000
    1.21
    %"
    1.17
    %
    1.12
    %;
    1.10
    %:
    1.07
    Percent
    1.00
    %.
    1.00
    Hz
    0.99
    %-
    0.98
    %]
    0.98
    Activations Density 0.068%

    No Known Activations