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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. 227
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    INDEX
    Explanations

    phrases related to political figures and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to hope or optimistic sentiments

    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
    è¦ļéĨĴ
    -0.62
    hesive
    -0.61
    ashtra
    -0.59
    onal
    -0.59
    planes
    -0.56
    andowski
    -0.55
    tymology
    -0.55
    ndra
    -0.54
    ascript
    -0.54
    pter
    -0.53
    POSITIVE LOGITS
    haul
    0.60
     Bundy
    0.58
     boarding
    0.57
     Braun
    0.56
    lees
    0.56
     Tsu
    0.55
    anamo
    0.54
     Klu
    0.54
     Ferry
    0.52
     Watson
    0.52
    Activations Density 0.402%

    No Known Activations