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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. 3307
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    INDEX
    Explanations

    specific named entities, potentially related to a company or place

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Arc" and related names or entities

    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
    Ö¼
    -0.90
    nesday
    -0.82
    tons
    -0.79
    fulness
    -0.74
    milo
    -0.74
    matter
    -0.73
    vous
    -0.72
    ging
    -0.71
    ding
    -0.71
    ODUCT
    -0.70
    POSITIVE LOGITS
    adia
    1.08
     Arc
    1.04
    Arc
    0.95
    adian
    0.93
    esian
    0.81
    adium
    0.74
    isol
    0.74
     Seraph
    0.74
    oma
    0.73
    Corp
    0.72
    Activations Density 0.012%

    No Known Activations