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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. 9-RES-JB
    11. 6001
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    Explanations

    mentions of significant events or milestones

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.67
    ngth
    -0.62
     equation
    -0.60
    nel
    -0.60
    66666666
    -0.58
    ACTED
    -0.58
    rices
    -0.58
    \/\/
    -0.57
    aways
    -0.57
     surrounds
    -0.56
    POSITIVE LOGITS
     sixth
    1.32
     fifth
    1.31
     ninth
    1.29
     eighth
    1.29
     seventh
    1.28
     fourth
    1.25
     tenth
    1.25
    Fourth
    1.21
    Third
    1.19
    fifth
    1.17
    Activations Density 0.834%

    No Known Activations