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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. 6-RES-JB
    11. 7214
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    Explanations

    terminology related to technical details and characteristics of specific objects or substances

    oai_token-act-pair · gpt-3.5-turbo

    nouns that represent various categories or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ificantly
    -0.64
    \\\\\\\\
    -0.64
    DEP
    -0.64
    é¾įå
    -0.63
    ATH
    -0.62
    wise
    -0.62
    verified
    -0.62
     disturbance
    -0.61
    ABLE
    -0.60
    cipled
    -0.60
    POSITIVE LOGITS
    etter
    1.13
    etting
    1.11
    mith
    1.04
    heet
    1.01
    cape
    1.00
    hirt
    0.97
    hips
    0.93
     themselves
    0.89
    hip
    0.87
    chool
    0.86
    Activations Density 0.486%

    No Known Activations