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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. 6-RES-JB
    11. 13993
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    INDEX
    Explanations

    instances of the word "see" used in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying visual perception or observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.71
    ortunately
    -0.66
    inals
    -0.64
    ella
    -0.63
     sugg
    -0.62
    nation
    -0.62
     reun
    -0.62
    cake
    -0.60
     restruct
    -0.60
    haus
    -0.59
    POSITIVE LOGITS
    ibly
    0.82
    seeing
    0.81
    ById
    0.78
     whats
    0.78
     why
    0.77
    IBLE
    0.75
     how
    0.71
     eye
    0.70
    lift
    0.69
    clip
    0.69
    Activations Density 0.048%

    No Known Activations