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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. 7-RES-JB
    11. 4933
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    INDEX
    Explanations

    individuals or entities with connections or relationships to specific people, organizations, or events

    oai_token-act-pair · gpt-3.5-turbo

    references to connections or relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburg
    -0.83
    otos
    -0.80
    oplan
    -0.76
    ulsion
    -0.68
    Lind
    -0.67
     1893
    -0.65
    Ħ¢
    -0.64
    TPPStreamerBot
    -0.64
    Dou
    -0.63
    ivals
    -0.63
    POSITIVE LOGITS
     ties
    1.06
    hips
    0.98
     thereto
    0.88
     connections
    0.86
     connecting
    0.84
     links
    0.84
     connected
    0.81
    worthiness
    0.81
     tracing
    0.77
    cius
    0.76
    Activations Density 0.044%

    No Known Activations