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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. 11-RES-JB
    11. 15690
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    Explanations

    technical terms related to information technology and electronics

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to physical objects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wise
    -0.81
    roo
    -0.61
    lessly
    -0.60
    cation
    -0.58
    atever
    -0.58
    ERAL
    -0.56
    cipled
    -0.55
    OUS
    -0.55
    iage
    -0.55
    ornia
    -0.54
    POSITIVE LOGITS
     themselves
    1.64
    '
    1.62
    ']
    1.28
    '"
    1.17
    ',"
    1.12
    ',
    1.07
    ')
    1.06
    hip
    1.04
    '."
    1.03
    '.
    1.02
    Activations Density 0.440%

    No Known Activations