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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. 11-RES-JB
    11. 471
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    Explanations

    verbs expressing the act of doing something or taking action

    oai_token-act-pair · gpt-3.5-turbo

    imperative phrases and commands related to specific actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Parameter
    -0.85
    hunter
    -0.74
    218
    -0.74
     Heller
    -0.73
    ATIONAL
    -0.73
    gran
    -0.71
    Silver
    -0.70
     Kern
    -0.69
    çĶ°
    -0.69
    ern
    -0.68
    POSITIVE LOGITS
    do
    1.51
     Do
    1.49
     DO
    1.40
     do
    1.38
    DO
    1.38
    Do
    1.26
    did
    1.09
     dos
    1.08
     Does
    1.07
     does
    1.05
    Activations Density 0.161%

    No Known Activations