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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. 7-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    variables and parameters in a technical or instructional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    )."
    -0.66
    ]."
    -0.57
    .'"
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    Otherwise
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    '."
    -0.54
     Baghdad
    -0.54
    ."[
    -0.53
     lashes
    -0.53
    .")
    -0.52
     afterward
    -0.51
    POSITIVE LOGITS
    ODUCT
    0.58
    ORPG
    0.58
     fundamentally
    0.56
     prototyp
    0.54
    rary
    0.53
     Introduction
    0.53
     simplest
    0.52
     nutshell
    0.51
    aceae
    0.50
    imester
    0.50
    Activations Density 1.728%

    No Known Activations