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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. 11-RES-JB
    11. 6597
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    Explanations

    phrases related to not valuing or appreciating something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of taking something for granted or not fully appreciating it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.70
    âĶĢâĶĢ
    -0.68
    ouf
    -0.64
    anwhile
    -0.63
    etitive
    -0.62
     Ahead
    -0.62
     beginnings
    -0.59
    rice
    -0.59
    ear
    -0.58
    ãĥĨ
    -0.57
    POSITIVE LOGITS
     granted
    1.28
     stride
    1.11
     seriously
    0.91
     lightly
    0.88
     Granted
    0.79
     Seriously
    0.76
     advis
    0.75
    bourg
    0.73
    Course
    0.70
     personally
    0.69
    Activations Density 0.071%

    No Known Activations