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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. 9-RES-JB
    11. 3660
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    Explanations

    references to an exchange of goods or services

    oai_token-act-pair · gpt-3.5-turbo

    references to currency exchange and related transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jac
    -0.76
    owsky
    -0.75
    IGHTS
    -0.72
    gets
    -0.71
    strap
    -0.67
    isi
    -0.67
    à©
    -0.65
    ::::::::
    -0.65
    zag
    -0.64
    istics
    -0.64
    POSITIVE LOGITS
     traded
    0.95
    places
    0.90
    prise
    0.84
    able
    0.82
    daq
    0.81
    ably
    0.78
     Rates
    0.77
    ability
    0.76
    ABLE
    0.75
     rate
    0.74
    Activations Density 0.070%

    No Known Activations