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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. 6-RES-JB
    11. 17022
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    words or names of specific individuals and entities

    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
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    No Comments

    Negative Logits
     sanct
    -0.69
     corridors
    -0.68
     acron
    -0.68
     pent
    -0.64
     DIRECT
    -0.64
     coincide
    -0.62
     polic
    -0.62
     antip
    -0.61
     CONTR
    -0.60
     PROC
    -0.60
    POSITIVE LOGITS
    orah
    1.00
    oslav
    0.91
    edo
    0.90
    ÃŃn
    0.88
    yon
    0.88
    opa
    0.87
    itan
    0.86
    rex
    0.85
    eport
    0.85
    ador
    0.83
    Activations Density 0.201%

    No Known Activations