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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. 17013
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    INDEX
    Explanations

    keywords related to specific technical terms or programming languages

    oai_token-act-pair · gpt-3.5-turbo

    specific references to competitive events or leagues

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    minster
    -0.86
    Buzz
    -0.83
    TPPStreamerBot
    -0.76
    bilt
    -0.76
    Dash
    -0.75
    dyl
    -0.72
    abilia
    -0.71
    OTAL
    -0.68
     McCartney
    -0.67
    chuk
    -0.66
    POSITIVE LOGITS
     afore
    0.65
     reliance
    0.64
     vas
    0.64
    nery
    0.63
     Intro
    0.63
     pend
    0.62
    pite
    0.62
    ranged
    0.61
    going
    0.60
     pent
    0.59
    Activations Density 0.000%

    No Known Activations