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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. 3-RES-JB
    11. 12484
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    Explanations

    images or descriptions related to a specific location or position - "in front"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of being "in front of" something or someone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.79
    Rating
    -0.74
    cci
    -0.72
    ======
    -0.65
    gger
    -0.64
    zn
    -0.64
    tar
    -0.63
    hell
    -0.63
    ggle
    -0.63
    fortune
    -0.63
    POSITIVE LOGITS
     row
    0.79
    mast
    0.74
     lawn
    0.70
    shore
    0.68
    eering
    0.68
    office
    0.67
    front
    0.67
     Tanz
    0.65
    sight
    0.65
    stadt
    0.65
    Activations Density 0.012%

    No Known Activations