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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. 3-RES-JB
    11. 18203
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    Explanations

    specific instructions or steps for performing tasks or activities

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to the physical characteristics and handling of objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reward
    -0.80
    ãĥ©ãĥ³
    -0.79
    pmwiki
    -0.75
    æ©Ł
    -0.74
     Taxes
    -0.71
     Estimates
    -0.71
     Rankings
    -0.70
    Merit
    -0.70
    é¾
    -0.69
     Galile
    -0.68
    POSITIVE LOGITS
    ature
    0.92
     snug
    0.91
     pouch
    0.90
     onto
    0.87
     attachment
    0.86
     moist
    0.84
     securely
    0.83
     clasp
    0.82
     holder
    0.82
     grasped
    0.82
    Activations Density 0.371%

    No Known Activations