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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. 11598
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    Explanations

    names of people, especially when accompanied by their titles or positions

    oai_token-act-pair · gpt-3.5-turbo

    proper names and titles of individuals

    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
     fundamentally
    -0.61
     resolutions
    -0.58
    IBLE
    -0.57
    depending
    -0.57
     executions
    -0.55
    Temperature
    -0.55
    ENCY
    -0.53
     energies
    -0.53
    STATE
    -0.53
    SOURCE
    -0.53
    POSITIVE LOGITS
     and
    1.03
     &
    0.82
     Jr
    0.77
     (£
    0.76
     ($
    0.72
    ortium
    0.71
     et
    0.69
     (@
    0.67
     ("
    0.66
     AND
    0.64
    Activations Density 0.292%

    No Known Activations