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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. 5-RES-JB
    6. 605
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    Explanations

    mentions of "Veterans" or related terms in the context of military service or programs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of veterans and related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wise
    -0.73
    mons
    -0.72
    Sty
    -0.72
    hran
    -0.68
    Drag
    -0.65
    lihood
    -0.65
    orie
    -0.64
    eton
    -0.64
    verages
    -0.63
    iang
    -0.63
    POSITIVE LOGITS
     Veterans
    1.03
     veterans
    0.95
     Affairs
    0.84
     Veteran
    0.81
     vets
    0.78
     homelessness
    0.74
     Memorial
    0.74
     Benefits
    0.71
     PTSD
    0.71
    roleum
    0.70
    Activations Density 0.018%

    No Known Activations