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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. 10841
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    Explanations

    positive actions or benefits related to a specific activity

    oai_token-act-pair · gpt-3.5-turbo

    verbs and actions that indicate benefits or positive outcomes

    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
    hatt
    -0.76
    bats
    -0.74
     Reported
    -0.71
    numbered
    -0.68
    Tonight
    -0.67
    picked
    -0.66
    INGTON
    -0.65
    approved
    -0.64
    bow
    -0.64
    court
    -0.64
    POSITIVE LOGITS
     tremend
    0.86
     enormously
    0.80
     alot
    0.75
     itself
    0.72
    ometimes
    0.71
     immensely
    0.70
     tremendously
    0.70
     inherent
    0.70
     continuity
    0.70
     valuable
    0.69
    Activations Density 0.400%

    No Known Activations