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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. 7-RES-JB
    11. 14049
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    Explanations

    descriptions related to the eyes and their expressions

    oai_token-act-pair · gpt-3.5-turbo

    references to eyes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _-
    -0.70
    adium
    -0.65
    TON
    -0.64
    RY
    -0.63
    ULAR
    -0.59
    cific
    -0.59
    ggies
    -0.59
    ALLY
    -0.59
    cible
    -0.58
    cation
    -0.57
    POSITIVE LOGITS
    ight
    1.21
     sockets
    1.05
    pots
    0.93
    pring
    0.88
    horn
    0.85
    eyed
    0.84
    ores
    0.83
    ights
    0.82
    bre
    0.81
     gou
    0.81
    Activations Density 0.016%

    No Known Activations