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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. 2-RES-JB
    11. 21076
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    Explanations

    references to large quantities of something

    oai_token-act-pair · gpt-3.5-turbo

    references to numeric scores associated with various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UAL
    -0.75
    conn
    -0.68
    POSE
    -0.68
    lly
    -0.68
    ned
    -0.64
    agan
    -0.63
    xon
    -0.62
    edia
    -0.59
    JA
    -0.59
     plun
    -0.58
    POSITIVE LOGITS
    heet
    1.02
     scores
    0.93
    icket
    0.91
    chool
    0.86
    paces
    0.86
     Scores
    0.81
    earch
    0.79
    ires
    0.79
    ynthesis
    0.78
    acebook
    0.77
    Activations Density 0.011%

    No Known Activations