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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. 8-RES-JB
    11. 16731
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    Explanations

    actions or activities done for a specific purpose or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions or activities directed towards a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Accessed
    -0.62
    Strange
    -0.61
    fleet
    -0.59
    ttle
    -0.58
    ngth
    -0.58
    portation
    -0.55
    ###
    -0.55
    909
    -0.54
     ®
    -0.54
    ername
    -0.54
    POSITIVE LOGITS
    geries
    1.08
     purposes
    1.07
    bidden
    1.06
     instance
    1.05
     example
    1.03
     reasons
    1.03
    aging
    1.01
     sake
    0.98
    agers
    0.98
    gotten
    0.93
    Activations Density 0.225%

    No Known Activations