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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. 14463
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    INDEX
    Explanations

    references to specific numerical values and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and symbols, particularly in contexts where they denote scores or data related to age and statistics

    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
    yssey
    -0.64
     bait
    -0.63
    aida
    -0.62
     hol
    -0.62
     raft
    -0.62
     impuls
    -0.61
     axe
    -0.61
     fuzzy
    -0.60
     scissors
    -0.59
     cue
    -0.59
    POSITIVE LOGITS
    ãĤ¼ãĤ¦ãĤ¹
    0.88
     MPH
    0.87
    254
    0.83
     percentile
    0.77
    949
    0.77
    percent
    0.76
    degree
    0.76
    ãĥīãĥ©ãĤ´ãĥ³
    0.76
    030
    0.75
    660
    0.74
    Activations Density 0.264%

    No Known Activations