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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. 14031
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    oai_token-act-pair · gpt-3.5-turbo

    words related to signage and indications

    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
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    No Comments

    Negative Logits
    cham
    -0.78
    HAHAHAHA
    -0.73
     Mighty
    -0.71
    bian
    -0.67
    successfully
    -0.65
     Springfield
    -0.64
    charging
    -0.63
    XL
    -0.61
    RC
    -0.60
    ~~~~~~~~
    -0.60
    POSITIVE LOGITS
    ificant
    1.14
    ments
    1.13
    atures
    0.97
    eous
    0.95
    atories
    0.90
    entials
    0.90
    antly
    0.89
    acio
    0.87
    itory
    0.86
    ified
    0.85
    Activations Density 0.024%

    No Known Activations