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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. 2-RES-JB
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    Explanations

    phrases related to expensive or financially costly actions or items

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ept
    -0.80
    ership
    -0.74
    swick
    -0.73
    eper
    -0.69
    ipt
    -0.69
    itions
    -0.68
    estamp
    -0.68
    bour
    -0.67
    arity
    -0.67
    speed
    -0.66
    POSITIVE LOGITS
     costly
    1.10
     incurred
    0.87
    ãĥ¥
    0.86
     wasteful
    0.86
     losses
    0.80
     burdens
    0.80
     cumbers
    0.80
     repairs
    0.77
    ModLoader
    0.75
     costing
    0.75
    Activations Density 0.012%

    No Known Activations