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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. 4380
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    Explanations

    prepositional phrases indicating impact or effect

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and their connection to actions or impacts in context

    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
    !--
    -0.68
    ornings
    -0.68
    REL
    -0.63
    WD
    -0.63
    ģĸ
    -0.60
     Pradesh
    -0.60
    IER
    -0.59
    abad
    -0.58
    aspers
    -0.58
    azor
    -0.56
    POSITIVE LOGITS
    liest
    0.94
    effic
    0.71
    rium
    0.71
     Pompe
    0.66
    efficiency
    0.64
    eatures
    0.64
     Hiroshima
    0.64
    sec
    0.62
     question
    0.61
     totality
    0.61
    Activations Density 0.446%

    No Known Activations