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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. 3365
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    INDEX
    Explanations

    mentions of hardware components or functionalities

    oai_token-act-pair · gpt-3.5-turbo

    references to hardware

    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
     Burnett
    -0.84
    uel
    -0.74
    rika
    -0.67
    rouse
    -0.67
    naire
    -0.66
    osi
    -0.66
    inas
    -0.65
    rir
    -0.64
    nance
    -0.64
    olitan
    -0.64
    POSITIVE LOGITS
     hardware
    1.03
     wallets
    1.02
     acceleration
    0.86
     devices
    0.83
     manufacturer
    0.80
     keyboards
    0.78
     wallet
    0.78
     accelerated
    0.78
     gadgets
    0.78
     circuitry
    0.78
    Activations Density 0.010%

    No Known Activations