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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. 3-RES-JB
    11. 20973
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    Explanations

    proper nouns or entities, potentially related to technology or media

    oai_token-act-pair · gpt-3.5-turbo

    acronyms and abbreviations related to organizations, productions, and systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ord
    -0.99
    lahoma
    -0.92
    ucks
    -0.89
    avier
    -0.80
    cean
    -0.78
    idae
    -0.77
    ana
    -0.76
    opol
    -0.76
    agen
    -0.76
    heimer
    -0.75
    POSITIVE LOGITS
    NING
    1.31
    LIN
    1.29
    MENT
    1.29
    ELY
    1.28
    ANCE
    1.27
    ISM
    1.26
    VEN
    1.25
    CAST
    1.23
    STON
    1.23
    WAYS
    1.23
    Activations Density 0.079%

    No Known Activations