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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. 7115
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    Explanations

    numerical values related to quantities or sizes

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values or statistics, particularly in the range of 200

    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
    kell
    -0.80
    warts
    -0.79
    aken
    -0.78
    agn
    -0.77
    roma
    -0.76
    robe
    -0.76
    stal
    -0.72
    tale
    -0.71
    shake
    -0.70
    akable
    -0.69
    POSITIVE LOGITS
    00000
    0.92
     ILCS
    0.88
    âĸĪ
    0.82
    Hz
    0.82
    px
    0.78
     kHz
    0.78
    mph
    0.76
    200
    0.76
     Leban
    0.74
    0000000
    0.74
    Activations Density 0.015%

    No Known Activations