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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. 6-RES-JB
    11. 3073
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    INDEX
    Explanations

    instances of phrases related to different forms or ways things can appear or be presented

    oai_token-act-pair · gpt-3.5-turbo

    different forms of expression or presentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hots
    -0.74
    avorite
    -0.74
    iolet
    -0.66
     sear
    -0.65
    incial
    -0.64
    Bridge
    -0.64
     Duty
    -0.64
     Thro
    -0.62
    Streamer
    -0.62
    amily
    -0.61
    POSITIVE LOGITS
    aldehyde
    1.37
    ative
    1.06
    ulating
    0.95
    fitting
    0.88
    ulator
    0.84
    idable
    0.82
    atives
    0.80
    ulates
    0.78
    ula
    0.77
    ulators
    0.77
    Activations Density 0.013%

    No Known Activations