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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. 10-RES-JB
    11. 1043
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    Explanations

    phrases related to explanations or justifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving explanations or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibaba
    -0.75
    ominium
    -0.72
    enged
    -0.66
    yss
    -0.64
    ENG
    -0.62
    agra
    -0.61
    inis
    -0.61
    hai
    -0.61
    oba
    -0.60
    onz
    -0.59
    POSITIVE LOGITS
     unrelated
    1.00
     unspecified
    0.92
     reasons
    0.92
     alone
    0.89
    abl
    0.88
     inexplicable
    0.87
     unexplained
    0.87
     undisclosed
    0.82
     why
    0.82
     unknown
    0.81
    Activations Density 0.045%

    No Known Activations