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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. 6-RES-JB
    11. 9259
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    INDEX
    Explanations

    time frames or durations

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating duration or time taken to complete tasks or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TextColor
    -0.76
    )=(
    -0.74
    Flags
    -0.73
    ħĭ
    -0.73
    tur
    -0.72
    Against
    -0.71
    ãĤ°
    -0.70
    ulty
    -0.69
    cffffcc
    -0.69
    pie
    -0.69
    POSITIVE LOGITS
     realize
    0.94
     digest
    0.91
     arrive
    0.84
     accomplish
    0.83
     commute
    0.79
     achieve
    0.77
     incarcer
    0.76
     process
    0.76
     fill
    0.76
     develop
    0.76
    Activations Density 0.101%

    No Known Activations