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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. 0-RES-JB
    11. 12663
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    INDEX
    Explanations

    phrases related to various types of efforts or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to various efforts or initiatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estamp
    -0.89
    rette
    -0.82
    gger
    -0.74
     randomly
    -0.72
    variable
    -0.72
     âĩ
    -0.69
    ABLE
    -0.65
    param
    -0.64
     Termin
    -0.64
     {{
    -0.63
    POSITIVE LOGITS
     efforts
    3.55
     effort
    2.29
     attempts
    2.25
     endeavors
    2.13
     initiatives
    1.82
     endeav
    1.78
     Eff
    1.55
     attempt
    1.53
    Attempts
    1.47
     accomplishments
    1.38
    Activations Density 0.022%

    No Known Activations