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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. 1451
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    oai_token-act-pair · gpt-3.5-turbo

    capitalized names and terms

    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
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    Negative Logits
    é¾įå¥ij士
    -0.69
    ĸļ
    -0.68
     limitation
    -0.65
    ODUCT
    -0.64
     Obj
    -0.62
    ©¶æ
    -0.61
    glers
    -0.61
     pests
    -0.61
     illeg
    -0.60
     stub
    -0.58
    POSITIVE LOGITS
    andise
    0.98
    owship
    0.92
    lees
    0.91
    eus
    0.86
    anamo
    0.85
    ieri
    0.85
     Garland
    0.84
    cially
    0.84
    cade
    0.82
    uries
    0.81
    Activations Density 0.123%

    No Known Activations