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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. 2944
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    INDEX
    Explanations

    acronyms or terms related to question-and-answer sessions

    oai_token-act-pair · gpt-3.5-turbo

    references to AMAs (Ask Me Anything sessions) on Reddit

    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©
    -0.97
    bats
    -0.87
    eners
    -0.87
    tle
    -0.86
    sheet
    -0.82
    fare
    -0.82
    lihood
    -0.81
    inav
    -0.80
    wise
    -0.79
    neys
    -0.79
    POSITIVE LOGITS
    AMA
    1.00
     mosqu
    0.92
     AMA
    0.87
    ICAN
    0.86
    icans
    0.83
    BIP
    0.82
    interstitial
    0.81
    ican
    0.79
    vernment
    0.78
    cknow
    0.76
    Activations Density 0.011%

    No Known Activations