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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. 18907
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    Explanations

    phrases related to choices or decision-making

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Cho" and related variations

    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
    doors
    -0.74
     EntityItem
    -0.71
    DEF
    -0.66
    night
    -0.65
    master
    -0.62
     Pwr
    -0.62
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.60
    landers
    -0.58
     Fundamental
    -0.58
    TERN
    -0.58
    POSITIVE LOGITS
    osing
    1.22
    pper
    1.18
    oser
    1.12
    ices
    1.11
    ppy
    1.03
    osen
    0.98
    oses
    0.98
    pped
    0.93
    ppers
    0.91
    icer
    0.87
    Activations Density 0.011%

    No Known Activations