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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. 7-RES-JB
    11. 23377
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    Explanations

    ranges of numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    yang
    -0.66
     axe
    -0.64
     hol
    -0.63
     axes
    -0.63
     scissors
    -0.62
     arrow
    -0.62
     pockets
    -0.61
     pill
    -0.60
    anski
    -0.60
    adesh
    -0.59
    POSITIVE LOGITS
    ãĤ¼ãĤ¦ãĤ¹
    0.96
    254
    0.87
     MPH
    0.85
    9999
    0.85
    999
    0.85
    230
    0.84
    266
    0.82
    degree
    0.81
    660
    0.81
    percent
    0.81
    Activations Density 0.159%

    No Known Activations