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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. 4-RES-JB
    11. 18494
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    Explanations

    proper names and shortened forms of names

    oai_token-act-pair · gpt-3.5-turbo

    names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.87
     Navajo
    -0.81
     township
    -0.73
     ancest
    -0.66
     pokemon
    -0.66
     intersections
    -0.66
    ModLoader
    -0.66
     domest
    -0.65
     wom
    -0.65
    rency
    -0.65
    POSITIVE LOGITS
    ovsky
    0.96
    idis
    0.91
    emort
    0.91
    ovich
    0.90
    iano
    0.80
    opoulos
    0.79
    henko
    0.78
    kov
    0.76
    oso
    0.74
    edom
    0.72
    Activations Density 0.252%

    No Known Activations