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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. 1-RES-JB
    11. 8710
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to academic institutions and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ter
    -0.75
    haul
    -0.72
    baugh
    -0.69
    tz
    -0.69
    tle
    -0.69
    ball
    -0.66
    loaded
    -0.65
    fm
    -0.65
    walking
    -0.64
    quote
    -0.64
    POSITIVE LOGITS
     Acad
    1.13
    emia
    1.07
    emies
    1.05
    ©¶æ¥µ
    0.91
    anooga
    0.91
     citiz
    0.86
     unden
    0.83
     metic
    0.81
    alon
    0.81
    emy
    0.81
    Activations Density 0.007%

    No Known Activations