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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. 9-RES-JB
    11. 16684
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    Explanations

    concepts related to weaponry and military hardware

    oai_token-act-pair · gpt-3.5-turbo

    terms related to arms and armaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sound
    -0.78
     Vide
    -0.74
     Atmosp
    -0.68
    actionDate
    -0.62
     Dough
    -0.61
    ween
    -0.60
     Stories
    -0.59
    iculty
    -0.58
     Tycoon
    -0.58
     elig
    -0.57
    POSITIVE LOGITS
    chair
    1.56
    aments
    1.46
    ament
    1.40
    ageddon
    1.31
    chairs
    1.28
    oire
    1.05
    ature
    1.05
    strong
    1.02
    atures
    1.02
    illary
    1.01
    Activations Density 0.031%

    No Known Activations