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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. 7886
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    Explanations

    words related to the process of melting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of melting

    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
    alez
    -0.68
    udo
    -0.64
    =-=-=-=-=-=-=-=-
    -0.64
    unal
    -0.64
    onsense
    -0.63
    osuke
    -0.63
    Discussion
    -0.63
    Guard
    -0.61
    alian
    -0.61
    ally
    -0.60
    POSITIVE LOGITS
    downs
    1.11
     butter
    0.96
     melt
    0.91
     melted
    0.82
    down
    0.81
    water
    0.79
     melting
    0.78
     lettuce
    0.77
     oil
    0.76
    ocaust
    0.76
    Activations Density 0.025%

    No Known Activations