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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. 4-RES-JB
    11. 16086
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    Explanations

    numerical values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weighted averages and buoyancy concepts

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

    No Comments

    Negative Logits
    uve
    -0.78
    olkien
    -0.73
    esan
    -0.72
    OME
    -0.72
    ILE
    -0.70
    INESS
    -0.68
     Noir
    -0.68
     Hebdo
    -0.68
     Mech
    -0.66
     Apocalypse
    -0.66
    POSITIVE LOGITS
    emonic
    0.79
    nesday
    0.76
    atives
    0.74
    ratulations
    0.73
    roxy
    0.73
    inatory
    0.69
    ileaks
    0.69
     buoy
    0.68
    pherd
    0.68
    amic
    0.67
    Activations Density 0.034%

    No Known Activations