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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. 20683
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    Explanations

    phrases related to people being angered or displeased about something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating frustration or anger

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ion
    -0.70
    oice
    -0.68
     paddle
    -0.61
    irgin
    -0.60
    oyal
    -0.60
     Scotia
    -0.60
    itation
    -0.59
     Kimmel
    -0.59
     reefs
    -0.58
     Tigers
    -0.58
    POSITIVE LOGITS
    sect
    0.99
    cedented
    0.91
    terness
    0.85
    cil
    0.83
    eteen
    0.83
    sie
    0.82
    vention
    0.82
    ktop
    0.78
    cest
    0.77
    ¯¯¯¯¯¯¯¯
    0.77
    Activations Density 0.089%

    No Known Activations