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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16600
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    Explanations

    patterns related to shapes and locations

    oai_token-act-pair · gpt-3.5-turbo

    nouns and terms related to physical elements or constructs in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pigs
    -0.71
    odox
    -0.66
    ificantly
    -0.65
    erous
    -0.63
    ãĥĥ
    -0.63
     guiActiveUn
    -0.62
    erent
    -0.62
    amous
    -0.59
    ighter
    -0.58
    volent
    -0.56
    POSITIVE LOGITS
     (>
    0.81
     surrounded
    0.80
     indeed
    0.68
     (<
    0.66
    izabeth
    0.65
    smanship
    0.61
     surrounds
    0.61
    DragonMagazine
    0.61
     exists
    0.60
    cellence
    0.60
    Activations Density 0.607%

    No Known Activations