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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. 3540
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    Explanations

    names and titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to specific individuals or 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
    ifying
    -0.83
    ifiable
    -0.76
    lake
    -0.75
    ships
    -0.74
    aby
    -0.73
    ington
    -0.73
    estate
    -0.72
    gren
    -0.72
     RTX
    -0.71
    hips
    -0.71
    POSITIVE LOGITS
    umbai
    0.83
    endra
    0.81
    ortium
    0.81
    arak
    0.78
     Directorate
    0.78
    eus
    0.77
    ocre
    0.75
     mathemat
    0.75
    okemon
    0.70
    anto
    0.70
    Activations Density 0.027%

    No Known Activations