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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. 11-RES-JB
    11. 13088
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    Explanations

    questions starting with "Who" followed by a verb or verb phrase

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "who" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saturation
    -0.70
    GV
    -0.67
    PORT
    -0.65
     Supplemental
    -0.62
     Ratio
    -0.60
     Globe
    -0.59
     Millennium
    -0.59
     depth
    -0.58
     intensity
    -0.55
     680
    -0.55
    POSITIVE LOGITS
     cares
    1.31
     knows
    1.26
    ops
    1.11
    oping
    1.04
     else
    1.01
    ever
    1.00
     knew
    0.99
     wants
    0.97
    osh
    0.92
     remembers
    0.91
    Activations Density 0.035%

    No Known Activations