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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. 18225
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    Explanations

    a specific numerical value associated with a particular context or dataset

    oai_token-act-pair · gpt-3.5-turbo

    the number 34 in various contexts

    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
    urrent
    -0.79
    rolet
    -0.78
    raints
    -0.76
    apest
    -0.73
    ifying
    -0.73
    stakes
    -0.72
    nesday
    -0.71
    iped
    -0.71
    iday
    -0.70
    ivating
    -0.70
    POSITIVE LOGITS
    00
    0.99
    LECT
    0.92
    ptive
    0.83
     Centauri
    0.79
    aan
    0.76
    68
    0.73
    393
    0.71
    eteenth
    0.71
    TH
    0.71
    UST
    0.69
    Activations Density 0.019%

    No Known Activations