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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. 2-RES-JB
    11. 4115
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    Explanations

    mentions or references to specific technological products or companies

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities, particularly brands or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istries
    -0.81
    igsaw
    -0.79
    icago
    -0.78
    ulhu
    -0.76
    istry
    -0.76
    ieval
    -0.75
     orig
    -0.73
    ican
    -0.73
    enged
    -0.73
    ister
    -0.72
    POSITIVE LOGITS
     Vega
    0.89
     Nebula
    0.81
    fman
    0.78
    tis
    0.76
    Mist
    0.75
     Conscious
    0.73
    fitting
    0.73
     Orion
    0.73
     Ney
    0.70
    GROUND
    0.70
    Activations Density 0.026%

    No Known Activations