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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. 6-RES-JB
    11. 5561
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    Explanations

    phrases containing the words 'hard' and 'fast'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to definitions and contrasting concepts

    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
     guiActiveUn
    -0.91
    nostic
    -0.67
    VERTIS
    -0.67
    abre
    -0.67
    66666666
    -0.66
    apore
    -0.66
    =-=-=-=-=-=-=-=-
    -0.65
    mbuds
    -0.65
    {"
    -0.64
     UL
    -0.62
    POSITIVE LOGITS
     Bullets
    0.73
     bruising
    0.69
     weeds
    0.69
     Alto
    0.66
     âĶľ
    0.65
     abras
    0.65
     nails
    0.63
    grass
    0.63
    ãĥķãĤ¡
    0.62
     partisans
    0.61
    Activations Density 0.128%

    No Known Activations