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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. 17901
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    INDEX
    Explanations

    architectural structures or positions with high significance or support

    oai_token-act-pair · gpt-3.5-turbo

    references to archives or archival processes

    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
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    No Comments

    Negative Logits
    Ô
    -0.81
    uana
    -0.77
    arettes
    -0.76
    ña
    -0.72
    leneck
    -0.72
    ensation
    -0.68
    asley
    -0.68
    ACTION
    -0.66
    cius
    -0.66
    Reloaded
    -0.66
    POSITIVE LOGITS
    ipel
    1.06
    bishop
    1.00
     arch
    0.97
    itect
    0.86
     challeng
    0.79
    esian
    0.77
    ivist
    0.77
    di
    0.76
    ival
    0.76
    rival
    0.75
    Activations Density 0.010%

    No Known Activations