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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. 22316
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    Explanations

    words related to specific themed events or items

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to thematic content

    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
    IVER
    -0.76
    Streamer
    -0.72
    eded
    -0.68
    FT
    -0.64
     Neighbor
    -0.64
    Ps
    -0.64
    ivot
    -0.63
    FIN
    -0.62
    VEN
    -0.62
    ipt
    -0.60
    POSITIVE LOGITS
     themed
    1.17
    nesday
    1.16
    themed
    1.07
    theme
    1.04
    ragon
    1.00
    mares
    0.90
    ItemTracker
    0.88
    ĸļ
    0.86
    rontal
    0.86
    isine
    0.81
    Activations Density 0.008%

    No Known Activations