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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. 4-RES-JB
    11. 6423
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    Explanations

    Roman numerals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific identifiers or tags, likely related to a particular movie or media content

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

    No Comments

    Negative Logits
    kson
    -0.88
    umerable
    -0.80
    phasis
    -0.76
    Downloadha
    -0.73
    abilities
    -0.72
    ushing
    -0.66
    aiman
    -0.66
    awaru
    -0.65
    illed
    -0.65
    keepers
    -0.65
    POSITIVE LOGITS
    VII
    1.11
    III
    0.97
     XX
    0.96
     XXX
    0.91
    II
    0.91
    xxx
    0.90
    xx
    0.89
    XX
    0.87
    yz
    0.78
    VI
    0.76
    Activations Density 0.014%

    No Known Activations