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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. 7295
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    Explanations

    terms related to advocating for or supporting a cause or belief with intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to pro-stance or pro-positions related to various social and political issues

    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
    ãĤ¼ãĤ¦ãĤ¹
    -1.05
    ĸļ
    -0.95
     Halls
    -0.86
     Dickens
    -0.70
     Brooks
    -0.70
    owship
    -0.69
     complexities
    -0.69
     Sins
    -0.69
     Gorge
    -0.69
     Granger
    -0.67
    POSITIVE LOGITS
    digy
    1.46
    verbs
    1.21
    ctor
    1.14
    pelling
    1.11
    actively
    1.09
    dding
    1.08
    strate
    1.04
    ccess
    1.03
    ceed
    0.98
    dig
    0.98
    Activations Density 0.013%

    No Known Activations