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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. 2-RES-JB
    6. 23064
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a specific term or name

    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
    éĹĺ
    -0.89
    ħĭ
    -0.86
    æĸ¹
    -0.76
    doms
    -0.75
    æ©Ł
    -0.75
     GOODMAN
    -0.75
    æ©
    -0.74
    hirt
    -0.70
    ARDS
    -0.70
    士
    -0.70
    POSITIVE LOGITS
    agraph
    1.14
    anoia
    1.00
    vati
    0.91
    alysis
    0.90
    liament
    0.90
    pend
    0.87
    allel
    0.86
    anthrop
    0.85
    iple
    0.80
    ret
    0.80
    Activations Density 0.009%

    No Known Activations