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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. 7-RES-JB
    11. 19259
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    Explanations

    common nouns related to objects or tools

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to society and its systems

    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
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    No Comments

    Negative Logits
    ãĥ¯ãĥ³
    -0.75
    é¾įå
    -0.69
    ãģį
    -0.69
    Ire
    -0.68
    Interstitial
    -0.68
    Cola
    -0.66
     undermin
    -0.63
    avorite
    -0.63
    æ©
    -0.63
    ãĥ¼ãĥĨ
    -0.63
    POSITIVE LOGITS
     âĵĺ
    0.67
    ¶
    0.63
    ↵↵
    0.57
     welcomes
    0.56
     returns
    0.56
     ·
    0.54
    isations
    0.53
     gestures
    0.52
     overview
    0.52
     officer
    0.52
    Activations Density 0.452%

    No Known Activations