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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10884
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    Explanations

    mentions of the word "lava"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of names or references related to specific fictional characters, particularly in the context of creative works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bol
    -0.74
    comments
    -0.71
    leaf
    -0.68
    lest
    -0.66
    progress
    -0.66
    pard
    -0.66
    matically
    -0.65
    boro
    -0.65
    Domin
    -0.65
    bread
    -0.64
    POSITIVE LOGITS
    ptions
    0.85
    qua
    0.85
    zzi
    0.83
     Tir
    0.74
    tails
    0.74
    pport
    0.71
    lda
    0.71
     Flam
    0.71
    IDA
    0.71
    fw
    0.70
    Activations Density 0.047%

    No Known Activations