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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. 5-RES-JB
    6. 17881
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    Explanations

    words related to dissatisfaction or frustration

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional reactions and social interactions

    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
     GOODMAN
    -0.70
    itionally
    -0.66
    roximately
    -0.66
    ocument
    -0.65
     certification
    -0.64
    encia
    -0.60
    rowth
    -0.58
     certified
    -0.57
    aceae
    -0.56
    hess
    -0.56
    POSITIVE LOGITS
     decency
    0.80
     clich
    0.77
     lest
    0.76
     coward
    0.76
     cynicism
    0.72
     uttered
    0.70
     nihil
    0.70
     insults
    0.69
     inco
    0.69
     modesty
    0.68
    Activations Density 1.756%

    No Known Activations