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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. 14084
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    Explanations

    terms related to specific details or criteria, such as numbers, clothing, job descriptions, or project elements

    oai_token-act-pair · gpt-3.5-turbo

    elements related to rights, positions, and accountability in various contexts

    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
    etheless
    -0.74
    anon
    -0.68
     Cheong
    -0.61
    md
    -0.61
    mare
    -0.60
    incerity
    -0.60
    ãħĭ
    -0.59
    vier
    -0.59
    Lock
    -0.59
     acknow
    -0.58
    POSITIVE LOGITS
     purposes
    1.57
     sake
    1.56
     reasons
    0.91
     purpose
    0.86
    ummies
    0.73
     upcoming
    0.71
    umption
    0.71
    ulz
    0.68
     reason
    0.68
    orship
    0.65
    Activations Density 1.243%

    No Known Activations