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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2350
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    Explanations

    phrases related to pressure or opposition from different groups or entities

    oai_token-act-pair · gpt-3.5-turbo

    the recurring phrase "from" indicating the source of pressure or criticism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    puter
    -0.79
    iven
    -0.78
    imate
    -0.78
    itution
    -0.78
    perture
    -0.73
    merce
    -0.71
    ascript
    -0.68
    isec
    -0.67
    é¾įåĸļ士
    -0.67
    ritional
    -0.67
    POSITIVE LOGITS
     afar
    1.40
     abroad
    0.93
     inside
    0.81
     whence
    0.75
     elsewhere
    0.75
     within
    0.72
     thence
    0.71
     peers
    0.71
     superiors
    0.71
     anywhere
    0.70
    Activations Density 0.119%

    No Known Activations