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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. 3-RES-JB
    11. 6572
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    Explanations

    numerical sequences that represent specific instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measures and dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egal
    -0.82
    erate
    -0.76
    eur
    -0.75
    coat
    -0.72
    azar
    -0.72
    ese
    -0.71
    elong
    -0.69
    shire
    -0.67
    ership
    -0.67
    agan
    -0.66
    POSITIVE LOGITS
     ILCS
    0.77
     fibre
    0.70
     IMAGES
    0.67
    \\\\\\\\
    0.67
     CLR
    0.67
     MHz
    0.65
     Marketable
    0.63
    )</
    0.63
     NOTICE
    0.63
    åĤ
    0.62
    Activations Density 0.041%

    No Known Activations