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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. 8-RES-JB
    11. 3423
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    Explanations

    words related to rescue missions or saving someone

    oai_token-act-pair · gpt-3.5-turbo

    mentions of rescue operations or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ophon
    -0.74
    tops
    -0.74
    ounced
    -0.71
    eton
    -0.71
    ahon
    -0.69
    ith
    -0.68
     pores
    -0.67
    estial
    -0.66
    ansion
    -0.65
    ombat
    -0.65
    POSITIVE LOGITS
     rescue
    0.96
     Rescue
    0.83
     rescuing
    0.81
     rescued
    0.77
     Diver
    0.74
     resc
    0.74
     victims
    0.73
     Turtles
    0.71
     snatch
    0.68
     Mub
    0.66
    Activations Density 0.039%

    No Known Activations