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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 21131
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    INDEX
    Explanations

    proper nouns and phrases referring to specific events or people

    oai_token-act-pair · gpt-3.5-turbo

    shocking or surprising events or descriptions

    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
    etheless
    -0.56
    uitive
    -0.51
    ciplinary
    -0.50
    imposed
    -0.45
    ometimes
    -0.44
     �
    -0.43
     ACTIONS
    -0.42
    prisingly
    -0.42
    upon
    -0.41
    lees
    -0.41
    POSITIVE LOGITS
    "]
    1.22
    ")
    1.22
    .")
    1.18
    ").
    1.17
    %"
    1.15
    "—
    1.12
    "),
    1.11
    ";
    1.08
    ",
    1.07
    "?
    1.06
    Activations Density 0.977%

    No Known Activations