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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 19831
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    gerald
    -0.65
    stroke
    -0.64
     pains
    -0.64
    kaya
    -0.63
    trap
    -0.61
     Hussein
    -0.60
    gradient
    -0.60
     totality
    -0.60
     declass
    -0.59
    acies
    -0.59
    POSITIVE LOGITS
    ITH
    1.00
    braska
    0.95
    VE
    0.92
    NE
    0.91
    IGH
    0.84
    erd
    0.82
    VER
    0.81
    JM
    0.81
    LL
    0.80
    ISS
    0.80
    Activations Density 0.006%

    No Known Activations