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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 5357
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    Explanations

    combinations of numbers likely representing a specific model or value

    oai_token-act-pair · gpt-3.5-turbo

    references to the number "350."

    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
    glas
    -0.77
    hunt
    -0.77
    alez
    -0.77
    colm
    -0.74
    ek
    -0.73
    nell
    -0.73
    osuke
    -0.72
    alty
    -0.72
    nels
    -0.71
    odes
    -0.71
    POSITIVE LOGITS
     ILCS
    0.88
    ï¸
    0.76
    qqa
    0.72
    rous
    0.71
    470
    0.65
    475
    0.63
    º
    0.63
     LIA
    0.62
    ����
    0.62
    ById
    0.62
    Activations Density 0.035%

    No Known Activations