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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. 7-RES-JB
    11. 21589
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    Explanations

    words related to technical tasks and operations

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and -ing verbs related to various activities, especially those involving serious actions or processes

    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
    arag
    -0.75
    âĢ²
    -0.71
    played
    -0.69
    quart
    -0.68
    cci
    -0.67
    ika
    -0.67
    gow
    -0.66
    ties
    -0.66
    si
    -0.65
    unal
    -0.65
    POSITIVE LOGITS
    HAM
    0.98
    redients
    0.93
     oneself
    0.87
     DRAG
    0.78
     techniques
    0.77
     purposes
    0.77
     machines
    0.74
     conventions
    0.72
     spree
    0.69
     materials
    0.69
    Activations Density 0.346%

    No Known Activations