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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. 1-RES-JB
    11. 13928
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    INDEX
    Explanations

    mentions of physical density or thickness

    oai_token-act-pair · gpt-3.5-turbo

    the concept of density in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skill
    -0.76
    VR
    -0.74
    OTO
    -0.74
    OPA
    -0.73
    ership
    -0.70
    AUT
    -0.70
    */(
    -0.70
    =-=-=-=-
    -0.68
    soDeliveryDate
    -0.67
    TPP
    -0.67
    POSITIVE LOGITS
     dense
    1.01
     tracts
    0.99
     enough
    0.88
    iband
    0.82
     congest
    0.81
     nodd
    0.80
    packed
    0.78
     eater
    0.77
     densely
    0.77
    nesses
    0.77
    Activations Density 0.012%

    No Known Activations