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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1755
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    Explanations

    terms related to military service and activities

    oai_token-act-pair · gpt-3.5-turbo

    references to "active" or "active duty" related terms in a military or organizational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.82
    AMI
    -0.74
    elf
    -0.74
    OUGH
    -0.71
    aneers
    -0.71
    yth
    -0.71
    $$$$
    -0.70
    unts
    -0.70
    ĸļ
    -0.69
    aster
    -0.69
    POSITIVE LOGITS
     ingredient
    0.96
     volcano
    0.94
     duty
    0.93
     participation
    0.85
    duty
    0.84
     Directory
    0.81
    wear
    0.80
     volcan
    0.78
     shooter
    0.78
     Duty
    0.78
    Activations Density 0.040%

    No Known Activations