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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. 3914
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    Explanations

    different aspects or components of various items or entities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to individuality and uniqueness in various contexts

    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
    rers
    -0.74
    john
    -0.69
    essors
    -0.65
     angered
    -0.65
    tics
    -0.64
    soDeliveryDate
    -0.63
    idon
    -0.63
    rer
    -0.63
    WW
    -0.62
     STA
    -0.62
    POSITIVE LOGITS
     individually
    1.02
     imaginable
    0.99
     separately
    0.86
     successive
    0.76
     independently
    0.75
     conceivable
    0.75
     except
    0.74
     equally
    0.72
     unique
    0.71
    except
    0.71
    Activations Density 0.312%

    No Known Activations