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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. 10-RES-JB
    11. 7166
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    Explanations

    numbers and mathematical expressions

    oai_token-act-pair · gpt-3.5-turbo

    mathematical symbols and expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ruary
    -0.70
     Sparkle
    -0.61
     Turing
    -0.60
     Petty
    -0.59
    opathic
    -0.59
    atics
    -0.59
    pace
    -0.59
     Dise
    -0.58
    wolf
    -0.57
    soDeliveryDate
    -0.57
    POSITIVE LOGITS
    ++++++++++++++++
    1.43
    -+-+-+-+
    1.42
    ++++
    1.07
    ++++++++
    1.07
    --+
    1.00
    /+
    0.97
    /-
    0.96
    -+
    0.93
    -+-+
    0.90
    ----------
    0.90
    Activations Density 0.020%

    No Known Activations