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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
    11. 16648
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    Explanations

    words related to connections or associations between different entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    connections or associations between different subjects or entities

    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
    Ħ¢
    -0.76
    »Ĵ
    -0.70
    lite
    -0.65
     actionGroup
    -0.65
    izens
    -0.61
     outnumbered
    -0.61
    intend
    -0.59
    perty
    -0.58
    oufl
    -0.57
    DIS
    -0.57
    POSITIVE LOGITS
     thereto
    0.87
     dots
    0.85
     closely
    0.79
     knot
    0.72
     to
    0.71
     intimately
    0.69
     together
    0.69
     favorably
    0.67
     directly
    0.66
     disparate
    0.65
    Activations Density 0.066%

    No Known Activations