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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. 4947
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    INDEX
    Explanations

    modal verbs indicating advice or necessity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of obligation or recommendation

    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
    ELD
    -0.70
     Slug
    -0.66
    listed
    -0.66
     Royale
    -0.63
    MpServer
    -0.61
     Levant
    -0.60
    æµ
    -0.59
     Born
    -0.59
     costing
    -0.59
    ¶æ
    -0.59
    POSITIVE LOGITS
     ourselves
    1.15
     presume
    1.02
     celebrate
    1.00
     conclude
    0.99
     assume
    0.98
     strive
    0.98
     simplify
    0.97
     revisit
    0.96
     rejoice
    0.96
     collectively
    0.96
    Activations Density 0.183%

    No Known Activations