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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. 11-RES-JB
    6. 8452
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    Explanations

    phrases indicating meeting or failing to meet expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that relate to meeting or failing to meet expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.88
     unavailable
    -0.74
     delay
    -0.60
     Ruin
    -0.60
    lessness
    -0.60
     fuss
    -0.59
    things
    -0.59
     Subtle
    -0.59
    thing
    -0.56
     inaction
    -0.55
    POSITIVE LOGITS
     to
    0.71
    To
    0.71
    heit
    0.69
     TO
    0.68
    Registered
    0.67
     thereto
    0.67
    ulia
    0.66
    SOURCE
    0.65
    BuyableInstoreAndOnline
    0.64
    iola
    0.61
    Activations Density 0.262%

    No Known Activations