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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 24009
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.81
    inx
    -0.80
    arine
    -0.76
    oresc
    -0.73
    oids
    -0.65
    othal
    -0.63
    ible
    -0.63
    apan
    -0.62
    areth
    -0.61
     Pony
    -0.61
    POSITIVE LOGITS
     ��������
    0.90
     ����
    0.84
    raviolet
    0.74
    Stars
    0.72
    catentry
    0.71
    mia
    0.68
    borg
    0.67
    ternity
    0.67
    Member
    0.66
    Eva
    0.66
    Activations Density 0.015%

    No Known Activations