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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. 1-RES-JB
    11. 11218
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    Explanations

    references to actions or situations that can occur successfully without a specific prerequisite

    oai_token-act-pair · gpt-3.5-turbo

    the concept of doing something in the absence of something else

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oola
    -0.86
    mun
    -0.86
    ocations
    -0.72
    des
    -0.71
    omsky
    -0.71
    late
    -0.68
    ulty
    -0.67
    geist
    -0.66
    ombs
    -0.66
    mers
    -0.66
    POSITIVE LOGITS
    etheless
    0.84
     knowing
    0.83
    lessly
    0.79
     blinking
    0.74
     sacrificing
    0.73
     substit
    0.70
     necessarily
    0.69
     compromising
    0.68
     minimizing
    0.68
     without
    0.67
    Activations Density 0.028%

    No Known Activations