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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. 11035
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    Explanations

    phrases related to physical destruction or injury

    oai_token-act-pair · gpt-3.5-turbo

    terms related to physical impact and destruction

    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
    vernment
    -0.79
    cius
    -0.73
    ogly
    -0.70
    ussen
    -0.70
    alian
    -0.70
    rog
    -0.68
    redo
    -0.68
     appropri
    -0.67
    acht
    -0.66
    istrate
    -0.65
    POSITIVE LOGITS
    dragon
    0.78
     bones
    0.76
     crush
    0.75
     dreams
    0.74
    ulously
    0.74
    ãĥ¼ãĥ«
    0.72
     crushing
    0.71
     shattering
    0.69
    pling
    0.68
     bru
    0.67
    Activations Density 0.045%

    No Known Activations