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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    5. 4-RES-JB
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    Explanations

    mentions of the word "pot" often related to substances like marijuana

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cannabis or related slang

    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
    */(
    -0.80
     obser
    -0.76
     livest
    -0.75
     Hitman
    -0.71
    IGH
    -0.68
     simultane
    -0.67
     Monarch
    -0.66
     Rid
    -0.65
     mosqu
    -0.65
    anwhile
    -0.63
    POSITIVE LOGITS
    pour
    1.20
    tery
    1.17
    luck
    1.10
    pot
    1.05
     pot
    1.02
    pots
    0.98
    shaw
    0.96
    ting
    0.95
     pots
    0.94
    atoes
    0.91
    Activations Density 0.007%

    No Known Activations