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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. 10-RES-JB
    11. 21335
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    Explanations

    partnerships or collaborations between entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of collaboration or partnerships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arer
    -0.77
    Interstitial
    -0.76
     tant
    -0.65
    estate
    -0.63
    eming
    -0.62
    dos
    -0.61
    tein
    -0.61
    erest
    -0.59
    vette
    -0.59
     Parables
    -0.59
    POSITIVE LOGITS
     together
    0.92
     with
    0.88
     venture
    0.83
     withd
    0.81
    nered
    0.80
     forces
    0.78
    venture
    0.77
    atively
    0.76
     ventures
    0.74
     collaborators
    0.74
    Activations Density 0.065%

    No Known Activations