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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. 8-RES-JB
    11. 11052
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    Explanations

    sentences describing actions to be performed in a sequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases and components related to structured protocols or guidelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :,
    -0.64
    grave
    -0.61
    âĶĢâĶĢâĶĢâĶĢ
    -0.60
    >,
    -0.60
    $$$$
    -0.59
     helicop
    -0.58
    !!!!!!!!
    -0.58
    words
    -0.57
    !!!!!
    -0.57
    word
    -0.57
    POSITIVE LOGITS
     accompanying
    0.87
     associated
    0.78
     rest
    0.68
    lihood
    0.67
     ensuing
    0.66
    vernment
    0.66
     surrounding
    0.64
     corresponding
    0.60
     subsequent
    0.60
     its
    0.59
    Activations Density 0.832%

    No Known Activations