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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. 19910
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    Explanations

    terms related to resolution or settlement of matters

    oai_token-act-pair · gpt-3.5-turbo

    references to issues being resolved

    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
     Pin
    -0.68
    bies
    -0.67
    mouth
    -0.65
     imitation
    -0.64
    Buzz
    -0.63
     Steve
    -0.62
     slide
    -0.62
    wear
    -0.61
     poke
    -0.61
    ilet
    -0.59
    POSITIVE LOGITS
     resolved
    3.69
     resolves
    2.55
     resolving
    2.35
     resolve
    2.25
     solved
    1.96
     resolution
    1.70
     unresolved
    1.52
     settled
    1.44
     resolutions
    1.38
     addressed
    1.32
    Activations Density 0.014%

    No Known Activations