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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. 1-RES-JB
    11. 11404
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    Explanations

    the word "trop" followed by a number indicating the strength of activation

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "tropism" or directional growth in biology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.70
     Commodore
    -0.68
     Sense
    -0.65
     Cay
    -0.62
     Alps
    -0.62
     Bears
    -0.61
    ĪĴ
    -0.61
    ä¸Ń
    -0.61
    DOS
    -0.60
    pers
    -0.59
    POSITIVE LOGITS
    rop
    1.45
    hedon
    1.34
    oulos
    1.26
    hens
    1.13
    ulously
    0.96
    osate
    0.92
    ower
    0.90
    rodu
    0.90
    onent
    0.89
    olitics
    0.89
    Activations Density 0.008%

    No Known Activations