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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. 9248
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    INDEX
    Explanations

    words related to superlatives or extremes

    oai_token-act-pair · gpt-3.5-turbo

    the word "most" used to signify the majority in a context

    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
    vest
    -0.72
    pload
    -0.68
    icer
    -0.67
     Mellon
    -0.67
    rompt
    -0.66
    instead
    -0.65
    abad
    -0.65
    pton
    -0.61
    nton
    -0.61
    thur
    -0.60
    POSITIVE LOGITS
     importantly
    1.25
    afa
    0.90
    body
    0.90
     notably
    0.89
    tenance
    0.81
    likely
    0.80
    rar
    0.79
     observers
    0.77
     important
    0.76
     likely
    0.74
    Activations Density 0.053%

    No Known Activations