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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. 22806
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    Explanations

    the word "leaf" and variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to leaves and related botanical terms

    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
    PDATE
    -0.81
    nels
    -0.73
     Revel
    -0.65
     attackers
    -0.63
    cedes
    -0.63
     indemn
    -0.61
     Doyle
    -0.60
    AUD
    -0.60
    AAF
    -0.60
    ICAN
    -0.60
    POSITIVE LOGITS
    let
    1.37
    lets
    1.21
    leted
    1.08
    leaf
    1.02
    lete
    0.94
    iard
    0.92
    ho
    0.88
    letes
    0.87
     leaf
    0.87
    doms
    0.86
    Activations Density 0.052%

    No Known Activations