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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. 17344
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    INDEX
    Explanations

    proper nouns or acronyms, particularly related to organizations, businesses, or entities

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms that refer to organizations or entities in a sports context

    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
    ãĤ©
    -0.75
    ãĥł
    -0.74
    aved
    -0.70
     istg
    -0.69
    Ñĥ
    -0.68
    о
    -0.67
    ãĥĪ
    -0.66
    ãĥĸ
    -0.65
    pir
    -0.64
    оÐ
    -0.63
    POSITIVE LOGITS
    estern
    0.81
    ancial
    0.69
    ebus
    0.67
    geist
    0.67
    thur
    0.66
    ellen
    0.62
     Lansing
    0.61
     Editorial
    0.61
    lde
    0.61
    gettable
    0.61
    Activations Density 0.084%

    No Known Activations