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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19657
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    INDEX
    Explanations

    common words or names, particularly "Rut" and "jug", and some celebrity references, such as "Bruce Springsteen"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of containers and specific names associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.76
     spaced
    -0.71
     Compton
    -0.69
     bom
    -0.67
    raid
    -0.64
     flared
    -0.63
     pitched
    -0.63
    metry
    -0.62
     resistance
    -0.62
     filament
    -0.60
    POSITIVE LOGITS
    neys
    1.18
    glers
    0.92
    ebook
    0.91
    lain
    0.82
    amins
    0.81
    zx
    0.80
    geoning
    0.80
    secret
    0.78
    cle
    0.75
    stals
    0.75
    Activations Density 0.045%

    No Known Activations