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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. 2193
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    Explanations

    phrases related to victims experiencing harm caused by intentional actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating control or power over a situation or entity

    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
    onge
    -0.71
    onna
    -0.68
     Vide
    -0.65
    reci
    -0.62
    antz
    -0.62
     Amelia
    -0.61
    Mad
    -0.60
    aud
    -0.59
    nces
    -0.59
     Augusta
    -0.59
    POSITIVE LOGITS
    lopp
    0.72
    handed
    0.71
    hander
    0.64
    lash
    0.64
     disposal
    0.61
     brim
    0.61
     disinfect
    0.60
    auntlet
    0.60
    =]
    0.60
    rower
    0.60
    Activations Density 0.024%

    No Known Activations