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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. 4-RES-JB
    11. 123
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    Explanations

    words related to firearms and explosives

    oai_token-act-pair · gpt-3.5-turbo

    references to ammunition and related terms

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

    No Comments

    Negative Logits
    lihood
    -0.87
    ŃĶ
    -0.80
    Kids
    -0.80
    aido
    -0.80
    nee
    -0.79
    visible
    -0.78
    Else
    -0.74
     Athletics
    -0.68
    Vert
    -0.68
    SEA
    -0.68
    POSITIVE LOGITS
     ammunition
    1.07
     cartridges
    1.02
     bolts
    0.89
     pellets
    0.87
    munition
    0.86
     ammo
    0.86
     shells
    0.84
     cylinders
    0.83
    andise
    0.83
     tubes
    0.83
    Activations Density 0.014%

    No Known Activations