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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. 24142
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    INDEX
    Explanations

    references to statements of belief or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express insistence or strong affirmation

    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
     CrossRef
    -0.86
    Joined
    -0.69
     Springer
    -0.68
     ???
    -0.68
     avg
    -0.61
    estern
    -0.58
    Imagine
    -0.58
     ??
    -0.57
     Imagine
    -0.57
     Thoughts
    -0.57
    POSITIVE LOGITS
    urances
    0.87
     innocence
    0.86
     anonymity
    0.78
    clus
    0.77
    lua
    0.76
    alty
    0.75
     abstinence
    0.72
     horizont
    0.72
     unequivocally
    0.71
     neutrality
    0.71
    Activations Density 0.265%

    No Known Activations