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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. 14494
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    lahoma
    -0.83
    owler
    -0.77
    otin
    -0.76
    virt
    -0.75
    phas
    -0.75
    wage
    -0.74
    onyms
    -0.74
    utch
    -0.74
    ãĥĥãĤ¯
    -0.73
    sect
    -0.72
    POSITIVE LOGITS
     OF
    1.41
    LY
    1.38
    MENT
    1.35
     WITH
    1.34
    IES
    1.34
    ING
    1.33
    ED
    1.32
    URE
    1.32
    ERS
    1.31
    SHIP
    1.30
    Activations Density 0.148%

    No Known Activations