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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15503
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    INDEX
    Explanations

    words that are described as being highly intense or extreme

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers used to describe degrees of popularity or inappropriateness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iture
    -0.85
    ties
    -0.79
    ment
    -0.71
    ebin
    -0.70
    iem
    -0.68
    igi
    -0.66
    ylene
    -0.66
    ioch
    -0.65
    verts
    -0.65
    idon
    -0.64
    POSITIVE LOGITS
     underrated
    0.85
     impractical
    0.79
     Important
    0.77
     improbable
    0.76
     underestimated
    0.75
     popular
    0.74
     optimistic
    0.72
     inaccurate
    0.71
     beneficial
    0.71
    bitious
    0.70
    Activations Density 0.052%

    No Known Activations