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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. 1-RES-JB
    11. 21511
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    INDEX
    Explanations

    phrases related to financial gains and profits

    oai_token-act-pair · gpt-3.5-turbo

    various types of gains related to economics or performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pled
    -0.69
     Wolves
    -0.61
    gel
    -0.58
     Nept
    -0.57
    Else
    -0.57
     Atmosp
    -0.57
     Vacc
    -0.57
     Gears
    -0.57
     Else
    -0.56
     faulty
    -0.56
    POSITIVE LOGITS
     gains
    1.11
    llor
    0.90
    esville
    0.88
     glim
    0.82
    terson
    0.81
    itar
    0.80
    amac
    0.79
    bourg
    0.77
     gain
    0.77
    icult
    0.75
    Activations Density 0.007%

    No Known Activations