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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. 334
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    Explanations

    terms related to hydration and substances

    oai_token-act-pair · gpt-3.5-turbo

    words related to water and hydration

    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
     Borough
    -0.84
    */(
    -0.84
    éĹĺ
    -0.78
    ãģį
    -0.76
    uyomi
    -0.73
     Canary
    -0.71
    ãĥīãĥ©ãĤ´ãĥ³
    -0.69
    ourning
    -0.66
    hattan
    -0.65
    swick
    -0.64
    POSITIVE LOGITS
    ration
    1.22
    rolog
    1.21
    rox
    1.15
    rogen
    1.12
    rol
    1.08
    roph
    1.05
    rated
    1.05
    rology
    0.99
    rop
    0.98
    roc
    0.96
    Activations Density 0.019%

    No Known Activations