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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. 18577
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    INDEX
    Explanations

    verbs or noun phrases related to desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing collective opinions or feelings

    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
    OGR
    -0.70
    ounded
    -0.69
    berus
    -0.67
     Providence
    -0.64
    inventoryQuantity
    -0.64
    ullivan
    -0.63
    urrection
    -0.62
    rontal
    -0.61
    iliate
    -0.61
    adem
    -0.60
    POSITIVE LOGITS
     alike
    0.84
     except
    0.84
    else
    0.69
     Perspective
    0.69
     Dame
    0.66
    jac
    0.66
     knows
    0.66
    perty
    0.64
    lishes
    0.63
    kn
    0.62
    Activations Density 0.211%

    No Known Activations