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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. 4-RES-JB
    11. 4617
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    Explanations

    phrases related to assessing situations as reasonable or justifiable

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to reasonable expectations and justifications

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

    No Comments

    Negative Logits
    raltar
    -0.70
    iens
    -0.68
     Thumbnails
    -0.68
     Lies
    -0.66
     Mehran
    -0.65
     Cause
    -0.63
     valves
    -0.62
     betrayal
    -0.62
     deception
    -0.61
    Posts
    -0.60
    POSITIVE LOGITS
     entertained
    0.93
     priced
    0.93
     situated
    0.88
     equipped
    0.87
     accommod
    0.85
     positioned
    0.83
    merce
    0.82
     endowed
    0.81
    skilled
    0.80
    plete
    0.78
    Activations Density 0.021%

    No Known Activations