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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. 4-RES-JB
    11. 7797
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    Explanations

    phrases related to specific names such as "Zanzac" or "Zan"

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to specific individuals or characters

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

    No Comments

    Negative Logits
    WHERE
    -0.74
    Kings
    -0.65
    FUL
    -0.64
    ModLoader
    -0.64
    DIT
    -0.64
    prus
    -0.63
    STEM
    -0.62
    secut
    -0.62
    quartered
    -0.62
    pires
    -0.62
    POSITIVE LOGITS
    arella
    1.14
    anz
    1.11
    arro
    0.97
    hou
    0.92
    enger
    0.88
    atos
    0.88
    hang
    0.87
    ucci
    0.85
    ahar
    0.84
    irez
    0.83
    Activations Density 0.011%

    No Known Activations